Research assistant jobs in Santa Fe, NM

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a university-level course, research project, internship, or thesis in the following: 14. 1. Algorithms, data structures, or systems software 15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and 19. 6. Java, C++, Perl, PHP, or Python **Public Compensation:** $225,569/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**What You Will Do** **Come join the brightest minds in cutting edge space technology! The Intelligence and Space Research (ISR) Division at the Los Alamos National Laboratory is seeking highly motivated graduate students looking for a challenging internship. Our interdisciplinary teams of engineers, technicians, and scientists work, learn, and succeed through a highly creative and dynamic R&D environment.** **As an ISR GRA student, we will provide you with a mentor, a challenging project, and an opportunity to present your work and progress to colleagues. Projects will vary depending on your skills and interests and the Laboratory's current needs. The ISR GRA program offers paid summer and year-round internships for graduate students in a variety of Intelligence and Space Research projects. The GRA program provides mentoring, hands-on technical experience, and professional development opportunities through a normalized work plan complementing the student's chosen area of study.** **You will work closely with one of eight groups within ISR Division:** + **ISR-1: Space Science and Applications** + **The scientists of ISR-1 are interested in nuclear particle detection (neutrons, gammas, x-rays), plasma and energetic particle instruments, and space weather physics.** + **Academic backgrounds in ISR-1 are often in one or more of the following disciplines: nuclear physics, nuclear engineering, particle physics, astrophysics, space hardware development, and space weather.** + **ISR-2: Space and Remote Sensing** + **The engineers and scientists of ISR-2 are interested in radio-frequency sensing, ionospheric and lightning physics, space flight platforms and systems, space communications and networking, and photonics and quantum sensing.** + **Academic backgrounds in ISR-2 are often in one or more of the following disciplines: applied physics, astrophysics, atmospheric physics, computer/electrical engineering, lightning science, optics/quantum science, plasma physics, signal processing, software development, space hardware development, and space weather.** + **ISR-3: Space Data Science and Systems** + **The engineers, scientists, and professionals of ISR-3 work in flight software development, data processing, computing infrastructure, cybersecurity, and Mars operations.** + **Backgrounds in ISR-3 are often in one or more of the following disciplines and skills: physics/astrophysics, computer science, computer engineering, electrical engineering, data science, data engineering, embedded systems programming, FPGA design, and signal processing.** + **ISR-4: Space Electronics and Signal Processing** + **The Space Electronics and Signal Processing Group (ISR-4) develops innovative and high reliability instruments for unattended, long-term, failure-free operation in demanding environments such as high radiation, high temperature, and space.** + **Embedded Electronics Design & Layout** + **Analog Circuit Design for Specialized Detectors** + **Digital Signal Processing and Data Collection** + **Rad-hard Single Board Computer** + **Specialty Power Supply Design** + **Applied RF & Antenna Design** + **ISR-5: Space Instrument Realization** + **The engineers of ISR-5 focus on mechanical design and analysis, fabrication, integration, and environmental testing in support of advanced space hardware development. Students will contribute by performing fundamental research, creating CAD models, conducting Finite Element Analysis, and supporting rigorous environmental test campaigns; including vibration, shock, and thermal vacuum cycling. These efforts directly prepare hardware for successful deployment in both ground-based and spaceflight missions, giving students the opportunity to see their work applied to real-world challenges.** + **Academic backgrounds in ISR-5 are often in mechanical and aerospace engineering.** + **ISR-6: Space Remote Sensing and Data Science** + **The Space Remote Sensing and Data Science Group (ISR-6) develops and deploys sophisticated and customized detection systems and analysis tools to address needs in our key mission areas of nuclear non-proliferation, space domain awareness, atmospheric science, planetary science and exploration, and applied research toward multi-source intelligence applications. ISR-6's engineers, physicists, geophysicists, geologists, computer scientists, and data scientists conceive and design advanced sensing and data technologies.** + **ISR-7: Space Systems Assurance and Modernization** + **The Space Systems Assurance and Modernization Group (ISR-7) ensures critical design and operational objectives are met through integration of enhanced processes, quality assurance and control, and project execution across all phases of custom space instrumentation development and deployment. Students in ISR-7 have exceptional organizational skills and strong technical backgrounds including aerospace, mechanical, and electrical engineering. Students support our mission with systems engineering, integration and test support, and project management.** + **ISR-8: Space Nuclear Sensing** + **We provide unique space-based nuclear detection capabilities for national security and fundamental science by developing a comprehensive understanding of nuclear sources, signatures, and sensing. Our expertise includes detector modeling, radiation transport, and radiation effects; innovative detector development and deployment; and algorithm and scientific software development. Our work supports the United States Nuclear Detonation (NuDet) Detection System (USNDS) mission and other government sponsors while also contributing to fundamental nuclear and space physics.** + **Academic backgrounds in ISR-8 are often from one of the following disciplines: Nuclear/High Energy Physics, Nuclear Engineering, Astrophysics/Astronomy, and Space Weather.** **What You Need** **Minimum Job Requirements:** + **Currently enrolled in an accredited graduate degree program** + **Must be enrolled in at least 6 semester credit hours (or full-time equivalent).** + **Must currently have and maintain a cumulative GPA of at least 3.0 on a 4.0 scale (or equivalent).** Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. Note to Applicants: **A resume and current transcript, showing the above requirements, are required.** Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory **Where You Will Work** Located in Northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns. Our generous benefits package includes: + PPO or High Deductible medical insurance with the same large nationwide network + Dental and vision insurance + Free basic life and disability insurance + Paid childbirth and parental leave + Award-winning 401(k) (6% matching plus 3.5% annually) + Learning opportunities and tuition assistance + Flexible schedules and time off (PTO and holidays) + Onsite gyms and wellness programs + Extensive relocation packages (outside a 50 mile radius) **Additional Details** **Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.** No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (*********************************************** for applicant eligibility requirements. Incentive Compensation Program: For general program information refer to the Student Programs web page: ************************************************************************* Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by applicable federal, state and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request a disability accommodation, email ****************** or call **************, opt. 3. Instructions on How to Activate/Create a LANL Jobs Account: Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account: + Select the Click Here button if you have been employed with the Lab or received insurance coverage. + Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system. + Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated. Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account: + Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account. + From here, you will establish an account with username and password. How to Apply: Login to Your Account to Complete the Application Process + Click the Vacancy Name number (in blue) to view any job's details. + Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account. If you experience any technical issues, please email ****************** for assistance.

**Intern - Must be enrolled in a university prior to and post internship.** **Target Internship Duration: May-Aug 2026 or June-Sept 2026.** Hubs include but not limited: + Seattle, WA + Redwood, CA + Pleasanton, CA + Santa Clara, CA + Kansas City, MO **The Program:** Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. **The Team:** Oracle Health & Analytics is a new line of business that aims to leverage our expertise in IaaS and SaaS to transform the healthcare industry, provide patient-centric care, and make the best clinical tools available around the world (*********************************************** We are looking for the best and brightest technologists as we build the next generation of health platforms that will change the industry. This is a greenfield effort with an entrepreneurial spirit that promotes an energetic and creative environment. We like to move fast and innovate, and we want your help to make it a world-class engineering team that makes a significant impact. Analytics Cloud is also a business platform that delivers a full range of analytic and reporting capabilities. Our Business Intelligence platform of products provides enterprise-class level performance, security, scalability and manageability apart from the very sophisticated and innovative features in core analytics. The BI platform is world-class federated database. It enables business applications to query data from multiple heterogeneous systems and perform advanced business analytics. This platform enables companies to quickly and accurately gain a holistic view of their performance, as well as optimize their decision-making process. We have successfully differentiated ourselves from the competition by providing unparalleled breadth and depth in our features. **Responsibilities** **What You'll Bring: (Objective Minimum Qualifications)** To be considered for a Research Assistant intern position in Oracle Health and Analytics, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume and/or by uploading additional documents such as a transcript. + **Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.** + Currently enrolled in a **Doctorate degree program in Computer Science, Linguistics, Statistics, Applied Mathematics, Operations Research,** or related technical field during the 2025/2026 school year AND returning to the program after completion of the internship. + Research experience in at least one of the following areas: + Natural Language Processing + Computer Vision + Machine Learning + Large Language Models + Deep Learning + Algorithmic Foundations of Optimization + Reside in the United States and/or attend a university in the US. + Able to obtain work authorization in the US in 2026. + Commitment to staying up-to-date with the field and applying academic advances to **solve complex business problem** s, and bringing them into production. + Strong **publication record** , including as a lead author or reviewer, in top-tier journals or conferences. + Completed at least one internship, research assistantship, teaching assistantship, or equivalent practical experience working with the relevant areas noted above. **Other Preferred Qualifications:** + Minimum GPA of 3.0 Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from $19.62 to $53.00 per hour; from: $40,800 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC0 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At Chase, we are passionate about creating memorable experiences for our clients and employees, making them feel welcomed, valued, and understood. We build lasting relationships by doing the right thing, exceeding expectations, and embracing diversity and inclusion. As an Associate Banker within Chase, you will represent our brand and culture with the utmost hospitality, using the latest banking solutions and cutting-edge financial technology combined with friendly and attentive service. Your role at Chase will significantly contribute to the branch's success by delivering exceptional client experiences. You will build trusted relationships with clients, sharing product knowledge and solutions and introducing them to our team of experts - helping clients achieve their financial goals. Job Responsibilities Create a welcoming environment by delivering attentive and friendly service by greeting clients as they enter the branch, making them feel appreciated, managing lobby traffic, checking clients into the waiting queue, and scheduling/canceling client meetings. Exceed client expectations while assisting with day-to-day transactions as well as open new accounts, while complying with all policies, procedures, and regulatory and banking requirements. Educate clients on how the usage of technology self-service options such as leveraging the Chase Mobile App, Chase.com, and ATMs can help them with their banking needs whenever, wherever, and however they want. Build meaningful relationships with clients by actively listening, asking thoughtful questions, demonstrating empathy, and sharing product knowledge and solutions - introducing them to our team of experts to help achieve their financial goals. Perform branch operations, which may include managing cash devices such as the cash vault, ATM, or others while adhering to all bank policies and procedures. Required Qualifications, Capabilities, and Skills Ability to put clients first and exceed their expectations - delivering attentive and friendly service, creating a welcoming environment. Ability to build trusted relationships - demonstrating genuine care and concern during interactions with clients. Ability to engage clients - communicating clearly and politely to understand and help, anticipating client needs. Ability to quickly and effectively resolve client issues with attention to detail - providing a consistent client experience. Ability to elevate the client experience - working collaboratively as a team to deliver seamless service with care and sincerity. Ability to quickly and accurately learn products, services, and procedures. Client service experience or comparable experience. High school diploma or GED equivalent. Preferred Qualifications, Capabilities, and Skills Strong desire and ability to influence, educate, and connect customers to technology solutions. Cash handling experience.

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. We believe that the onchain platform should be open source, free to use, and globally available. And we believe that in order to make it really work, we need all hands on deck, working together to scale in a secure, decentralized manner. At Base, we live by our https://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. We are looking for a* Token & Governance Research Specialist* to join the Base Business Operations & Strategy team. In this role, you'll shape the long-term token and governance strategy for Base, ensuring it evolves as a credibly neutral, decentralized public good while maintaining its mission of building a global onchain economy. This is a once in a lifetime opportunity to shape the future of Base and onchain protocols. You'll collaborate with technical, community, legal, product, and consumer-focused stakeholders to design governance systems that balance decentralization with growth. *What you'll be doing (ie. job duties):* * *Explore the future token and governance design on Base *- Define potential token goals and develop a phased roadmap for decentralized governance across the Base chain and ecosystem prioritizing long term growth and effectiveness. * *Research and analyze token designs *- Explore learnings from past token efforts, analyze token economics, understand tradeoffs, create scenario analysis. * *Create the technology to govern for billions *- Create the Base constitution and legislative processes that empower aligned contributors (Coinbase, developers, and communities) to make transparent decisions. * *Operationalize governance systems *- Define tools, workflows, and norms for onchain governance (e.g., legislation process, onchain voting) and offchain consensus-building (e.g., expert communities, governance forums, working groups). * *Enable and educate the community *- Create systems, documentation, and engagement channels (e.g., in-app governance portals, tutorials, or community forums) to help contributors and app users understand and participate in Base governance. * *Collaborate with Legal + Risk Teams* - Work with internal experts to navigate regulatory and compliance considerations, ensuring decentralization evolves responsibly. *What we look for in you (ie. job requirements):* * *Token and governance design* - You are passionate about token economics and governance design and are willing to bring new ideas that shape designs for the unique goals of Base. * *Project management *- Strong project management skills with experience working across stakeholders, influencing without authority, and managing complex workstreams. * *Strategic alignment* - You're skilled at building structure from ambiguity and driving alignment across diverse stakeholders, including technical teams, external contributors, and consumer communities. *Nice to haves:* * *Community Engagement Experience* - Background in community management or user education in onchain contexts, especially for non-technical audiences. * *Governance experience* - You've designed or implemented governance systems for DAOs, protocols, or public goods, with experience in strategic design and operational execution. Position ID:P73466 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $176,035-$207,100 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people-experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security. **Responsibilities** Join the Future Computing Technology Group at Pacific Northwest National Laboratory and help shape the next wave of computing innovation. We are looking for an outstanding Post-Doctoral Research Associate who is passionate about pushing beyond the limits of traditional architectures and developing hardware and design methodologies that will power the scientific breakthroughs of tomorrow. As computational demands rapidly evolve, our team is pioneering neuromorphic and nature-inspired approaches to overcome bottlenecks in performance, efficiency, and edge intelligence. This is an opportunity to work on bold, forward-leaning research that redefines how future systems are designed and built. **What You'll Do** + In this role, you will work at the dynamic intersection of hardware design, EDA, and emerging computing architectures, contributing to research efforts that span concept to deployment. You will: + Develop novel, scalable methodologies for electronic design automation (EDA).Co-design cutting-edge neuromorphic and nature-inspired hardware architectures for scientific computing and edge inference.Advance new techniques and tools that integrate hardware, compilers, and runtime systems. + Collaborate with top scientists across computer architecture, materials science, and applied research domains. + Contribute to high-impact publications and present your work at leading conferences. **Qualifications** Minimum Qualifications: + Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university. Preferred Qualifications: + Demonstrated experience with advanced hardware synthesis methodologies, including creating or optimizing flows for emerging architectures. + Proficiency with modern compiler frameworks such as LLVM or MLIR, with the ability to contribute to front-end, mid-level, or backend transformations. + Strong working knowledge of hardware design languages (e.g., Verilog, VHDL, SystemVerilog) and associated design, simulation, and verification tools. + Hands-on experience with physical design, layout, and tape-out processes, using both commercial EDA tools and open-source toolchains. + Experience collaborating across hardware-software co-design efforts or contributing to full-stack architecture research is a plus. **Hazardous Working Conditions/Environment** Not applicable **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $69,000.00/Yr. **Maximum Salary** USD $119,100.00/Yr.

Under the supervision of the Director of Institutional Effectiveness and Research, this position is responsible for developing, writing and analyzing various reports, through the use of statistical analysis and data interpretation. This position also communicates institutional data and other information to constituents throughout the university, to support and enhance informed decision-making, problem solving, strategic planning, policy development and institutional self-assessment. Duties And Responsibilities Provide relevant, timely, and accurate institutional data to university administrators and the university community at large, the external community, and external agencies Provide institution-wide support for obtaining data and information and performing analyses in response to specific needs Assist with the completion of federal and state reporting requirements, including IPEDS , HED , Clearinghouse, HLC mandated reports, and other required reports. Submit regular data reports to the National Student Clearinghouse Provide data and serve as support staff for university accreditation activities Provide data and serve as support staff for university outcomes assessment activities Work cooperatively with various university constituencies to optimize the quality, availability, and flow of relevant data and information throughout the university Develop data collection and reporting tools Collect, analyze, interpret and summarize data in preparation for generation of institutional reports including the annual NMHU Fact Book and other institutional materials Administer and design institutional survey instruments in support of institutional assessment activities Assist with grant applications and reports by providing faculty and staff with institutional information and program data Help to maintain OIER webpages Help to maintain OEIR budget and orders supplies as needed Maintain security and confidentiality regarding database records and documents Maintain regular attendance Perform related job duties as assigned Physical Demands Sitting - Frequently Standing, walking, bending, squatting, climbing, kneeling - Occasionally Lifting/Carrying up to 30 pounds - Occasionally Preferred Qualifications Proficiency with Oracle database, ARGOS Report Writer, SQL Script

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a graduate-level course, research project, or internship involving the following: 14. 1. Solving analytical problems using quantitative approaches 15. 2. Communicating complex research in a clear, precise, and actionable manner 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU 19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models 20. 7. Java, C++, Perl, PHP, or Python **Public Compensation:** $213,512/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**What You Will Do** Come join the brightest minds in cutting edge space technology! The Intelligence and Space Research (ISR) Division at the Los Alamos National Laboratory is seeking highly motivated undergraduate students (UGSs) looking for a challenging internship. Our interdisciplinary teams of engineers, technicians, and scientists work, learn, and succeed through a highly creative and dynamic R&D environment. The primary mission of ISR is to develop and test novel remote sensing technologies and the engineering and science necessary to support them. This covers a broad range of applications, but is centered on designing, building, and testing space based technologies that we maintain throughout their operational life cycle to support the Department of Energy's needs. As an ISR UGS, we will provide you with a mentor, a challenging project, and an opportunity to present your work and progress to colleagues. Projects will vary depending on your skills and interests and the Laboratory's current needs. The ISR UGS program offers paid summer and year-round internships for undergraduate students in a variety of Intelligence and Space Research projects. The UGS program provides mentoring, hands-on technical experience, and professional development opportunities through a normalized work plan complementing the student's chosen area of study. You will work closely with one of eight groups within the ISR Division: + **ISR-1: Space Science and Applications** + The scientists of ISR-1 are interested in nuclear particle detection (neutrons, gammas, x-rays), plasma and energetic particle instruments, and space weather physics. + Academic backgrounds in ISR-1 are often in one or more of the following disciplines: nuclear physics, nuclear engineering, particle physics, astrophysics, space hardware development, and space weather. + **ISR-2: Electromagnetic Sciences & Cognitive Space Applications** + The engineers and scientists of ISR-2 are interested in radio-frequency sensing, ionospheric and lightning physics, space flight platforms and systems, space communications and networking, and photonics and quantum sensing. + Academic backgrounds in ISR-2 are often in one or more of the following disciplines: applied physics, astrophysics, atmospheric physics, computer/electrical engineering, lightning science, optics/quantum science, plasma physics, signal processing, software development, space hardware development, and space weather. + **ISR-3: Space Data Science and Systems** + The engineers, scientists, and professionals of ISR-3 work in flight software development, data processing, computing infrastructure, cybersecurity, and Mars operations. + Backgrounds in ISR-3 are often in one or more of the following disciplines and skills: physics/astrophysics, computer science, computer engineering, electrical engineering, data science, data engineering, embedded systems programming, FPGA design, and signal processing. + **ISR-4: Space Electronics and Signal Processing** + The Space Electronics and Signal Processing Group (ISR-4) develops innovative and high reliability instruments for unattended, long-term, failure-free operation in demanding environments such as high radiation, high temperature, and space. + Embedded Electronics Design & Layout + Analog Circuit Design for Specialized Detectors + Digital Signal Processing and Data Collection + Rad-hard Single Board Computer + Specialty Power Supply Design + Applied RF & Antenna Design + **ISR-5: Space Instrument Realization** + The engineers of ISR-5 focus on mechanical design and analysis, fabrication, integration, and environmental testing in support of advanced space hardware development. Students will contribute by performing fundamental research, creating CAD models, conducting Finite Element Analysis, and supporting rigorous environmental test campaigns; including vibration, shock, and thermal vacuum cycling. These efforts directly prepare hardware for successful deployment in both ground-based and spaceflight missions, giving students the opportunity to see their work applied to real-world challenges. + Academic backgrounds in ISR-5 are often in mechanical and aerospace engineering. + **ISR-6: Space Remote Sensing and Data Science** + The Space Remote Sensing and Data Science Group (ISR-6) develops and deploys sophisticated and customized detection systems and analysis tools to address needs in our key mission areas of nuclear non-proliferation, space domain awareness, atmospheric science, planetary science and exploration, and applied research toward multi-source intelligence applications. ISR-6's engineers, physicists, geophysicists, geologists, computer scientists, and data scientists conceive and design advanced sensing and data technologies. + **ISR-7: Space Systems Assurance and Modernization** + The Space Systems Assurance and Modernization Group (ISR-7) ensures critical design and operational objectives are met through integration of enhanced processes, quality assurance and control, and project execution across all phases of custom space instrumentation development and deployment. Students in ISR-7 have exceptional organizational skills and strong technical backgrounds including aerospace, mechanical, and electrical engineering. Students support our mission with systems engineering, integration and test support, and project management. **ISR-8: Space Nuclear Sensing** + We provide unique space-based nuclear detection capabilities for national security and fundamental science by developing a comprehensive understanding of nuclear sources, signatures, and sensing. Our expertise includes detector modeling, radiation transport, and radiation effects; innovative detector development and deployment; and algorithm and scientific software development. Our work supports the United States Nuclear Detonation (NuDet) Detection System (USNDS) mission and other government sponsors while also contributing to fundamental nuclear and space physics. + Academic backgrounds in ISR-8 are often from one of the following disciplines: Nuclear/High Energy Physics, Nuclear Engineering, Astrophysics/Astronomy, and Space Weather. **What You Need** **Minimum Job Requirements:** + Currently enrolled in an accredited undergraduate degree program in any STEM field. + Must be enrolled in at least 12 semester credit hours (or full-time equivalent). + Must currently have and maintain a cumulative GPA of at least 3.0 on a 4.0 scale (or equivalent). **Desired Qualifications:** + Demonstrated ability to communicate well (verbal and written) in a professional scientific context; and commitment to achieving results in a complex social and organizational setting. + Creativity-the ability to think outside the box is crucial for the success of ISR projects and programs. **Work Location:** The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. **Note to Applicants:** + A resume and current transcript, showing the above requirements, are required. + Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. **Where You Will Work** Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: + PPO or High Deductible medical insurance with the same large nationwide network + Dental and vision insurance + Free basic life and disability insurance + Paid childbirth and parental leave + Award-winning 401(k) (6% matching plus 3.5% annually) + Learning opportunities and tuition assistance + Flexible schedules and time off (PTO and holidays) + Onsite gyms and wellness programs + Extensive relocation packages (outside a 50 mile radius) **Additional Details** **Directive 206.2 -** Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. **No Clearance:** Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. **New-Employment Drug Test** : The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. **Internal Applicants:** Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (*********************************************** for applicant eligibility requirements. **Equal Opportunity:** Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to ****************** or call ************** opt. 3. **Instructions on How to Activate/Create a LANL Jobs Account:** Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account: + Select the Click Here button if you have been employed with the Lab or received insurance coverage. Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system. + Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated. Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account: + Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account. + From here, you will establish an account with username and password. How to Apply: Login to Your Account to Complete the Application Process + Click the Vacancy Name number (in blue) to view any job's details. + Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account. If you experience any technical issues, please email ****************** for assistance.

**Must be enrolled in a university prior to and post internship.** **Target Internship Duration: May-Aug 2026 or June-Sept 2026.** **Target internship location: Burlington, MA.** **The Program:** Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. **The Team:** The Machine Learning Research Group is searching for outstanding AI and ML research interns to join our research team. We are passionate about research that both advances science and has impact in the real world. You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and artificial intelligence. Our expertise includes recommender systems, content moderation, foundation models, privacy preserving technology, probabilistic programming, and AI agents. Your contributions have the chance to create real impact. **Responsibilities** **What you'll be doing:** + Create new datasets that push the limits of existing AI and ML technology + Research, design and implement novel methods + Contribute to research that may lead to publications or conference presentations + Collaborate with other team members and teams + Transfer technology to product groups + Collaborate with external researchers **What You'll Bring:** **To be considered for a Research Assistant position in the Machine Learning Research Group, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume, application questions, and/or by uploading additional documents such as a transcript.** + **Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.** + **Currently pursuing a Ph.D. in the field of Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent AND returning to the program after completion of the internship.** + Research and/or work experience in Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent + Excellent programming skills in Python plus hands on experience with common machine learning frameworks, such as PyTorch + Outstanding research and publication track record + Excellent communication skills + Reside in the United States and/or attend a university in the US. Preferred Qualifications: + Minimum 3.0 GPA The Machine Learning Research Group is an advanced research organization in Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Our researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from $19.62 to $53.00 per hour; from: $40,800 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC0 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Minimum Qualifications Student registered for a minimum of 6 credit hours for the Fall, 2021 semester. Must maintain satisfactory academic standing.

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $177,000/year to $251,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**What You Will Do** The Weapons Production Directorate at Los Alamos National Laboratory integrates the stockpile stewardship program and weapons engineering and testing in support of the Laboratory's critical mission. The Plutonium Supply & Disposition (PSD) Division of Los Alamos National Laboratory process plutonium, uranium and other actinide materials to meet national program requirements. This position is a collaborative position between the Materials Recovery & Recycle (PSD-4) and Aqueous Recovery & Purification Operations (PSD-5) groups. PSD-4 and PSD-5 are seeking to hire undergraduate students pursuing an associate degree in nuclear operations or related disciplines. The selected students will primarily be conducting hands-on work in a nuclear facility under supervision of senior technicians or subject matter experts. The students will gain experience handling nuclear materials, performing wet and dry chemistry, manipulating various analytical instruments, and performing hands-on work in radiological gloveboxes. **What You Need** **Minimum Job Requirements:** + Currently enrolled in an accredited associate's degree program with at least 12 credit hours during the fall and spring semesters or the quarter system equivalent. + Have and maintain a minimum cumulative GPA of 2.75 on 4.0 scale. + Ability to follow laboratory safety procedures. + Ability to work and problem-solve independently. + Ability to work within a nuclear facility. **Desired Qualifications:** + Experience working with radioactive materials. + Experience working with hazardous materials. + Experience using gloveboxes and fume hoods. **Work Location:** The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. **Note to Applicants:** + This position is 100% onsite + Include/upload current transcripts as part of the application process, along with your resume. Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. **Where You Will Work** Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: + PPO or High Deductible medical insurance with the same large nationwide network + Dental and vision insurance + Free basic life and disability insurance + Paid childbirth and parental leave + Award-winning 401(k) (6% matching plus 3.5% annually) + Learning opportunities and tuition assistance + Flexible schedules and time off (PTO and holidays) + Onsite gyms and wellness programs + Extensive relocation packages (outside a 50 mile radius) **Additional Details** **Directive 206.2** - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. **No Clearance:** Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. **New-Employment Drug Test:** The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. **Internal Applicants:** Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (*********************************************** for applicant eligibility requirements. **Equal Opportunity:** Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to ****************** or call **************. **Instructions on How to Activate/Create a LANL Jobs Account:** Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account: + Select the Click Here button if you have been employed with the Lab or received insurance coverage. + Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system. + Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated. Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account: + Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account. + From here, you will establish an account with username and password. How to Apply: Login to Your Account to Complete the Application Process + Click the Vacancy Name number (in blue) to view any job's details. + Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account. If you experience any technical issues, please email ****************** for assistance.

**Intended for students graduating with their Doctorate degree by, or have graduated within, 12 months of cohort start date in June/July 2026.** **Location:** this position is fully in office, in our Austin, Nashville, Santa Clara, or Seattle Hub. **The Program:** Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. **The Team:** At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We are delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services leveraging state of art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world's most challenging problems. The Oracle Cloud infrastructure business is growing at an incredible 52% annually. This kind of growth results from Oracle's strong legacy in helping organizations worldwide tackle their most complex challenges and its reputation for performance, reliability and security. Join an outstanding team of researchers to advance the state-of-the-art in areas such as: + Generative AI Applications + Agentic Platforms + Reasoning and Planning + Retrieval Augmented Generation + Generative AI Evaluation + Responsible AI + Models' Verticalization + NL2Code, NL2SQL + Multimodal GenAI **The Company:** Oracle is the world's leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only transforming the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com (********************************** . **Responsibilities** **What You'll Do:** As an Applied Scientist in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area. you will play a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi-modality Models. Your contributions will be pivotal in delivering our new Generative AI-powered services for large scale enterprise customers. **Responsibilities:** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with global teams to drive projects from research to production. + Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior machine learning engineers. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. **What You'll Bring: (Objective Minimum Qualifications)** + Have a **PhD** in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) by **July 2026.** + Demonstrated experience in designing and implementing scalable AI models for production. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences + Reside in the United States and/or attend a university in the US. + Able to obtain work authorization in the US in **2026.** **Preferred Qualifications:** + Knowledge of LLM and experience delivering Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Minimum 3.0 GPA Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Physical Demands Lifting a minimum of 30 pounds - Occasionally Standing - Frequently Walking - Frequently Bending - Frequently Squatting - Frequently Climbing - Occasionally Kneeling - Frequently Repetitive hand motion - Frequently Sitting - Frequently Prolonged use of computer - Frequently Minimum Qualifications Education: College student at NMHU and classified as a sophomore, junior, or senior and enrolled with a minimum of six (6) credit hours Successfully completed one semester at NMHU ; Preferred Qualification: Minimum 3.0 GPA Experience: Work experience in college Preferred Qualifications Environmental Geology B.S. with interest in water resources science. Ability to work well in a team setting.

**What You Will Do** **Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The Applied Acoustics Team (MPA-11) is looking for a Graduate student with strong computational skills and solid background in signal processing and machine learning. We are seeking a highly motivated individual to join a multidisciplinary research team and contribute to the development of a new noninvasive acoustic/ultrasonic characterization and monitoring in complex, noisy systems. This work involves automating the recording, conditioning, and processing of real-world measurements in the time- and frequency-domain; and then developing machine learning algorithms to extract useful information from the signals. The work will also involve some experimental acoustic measurement technique development.** Our current work focuses on applied research for material characterization (solids, liquids, gases), acoustical imaging, nonlinear acoustics, acoustic separation of two-phase systems, detection of corrosion and other defects in structures and monitoring the change in structures over time. The work involves development of new techniques, customized instrumentation, and analysis algorithms. The successful candidate will be expected to contribute to the development of new sensing technologies, patents and publications. There will be opportunities to work in a wide range of areas, to innovate, and present work to sponsors and conferences. **What You Need** Minimum Job Requirements: + Graduate Student in Applied Physics, Engineering, Computer Science, or a closely related field, earned within the last five years or soon to be completed + Strong technical background in one or more of the following areas: signal processing, advanced data analysis, statistics, ultrasonic techniques, nondestructive testing, and machine learning + Fluency in one or more computer programming languages like Matlab, Python, or C++ Experience with standard machine learning software packages like Pytorch, Scikit-learn + Experience with common deep learning model architectures like MLPs, CNNs, and transformers + Experience developing, implementing, and testing machine learning methods for signal-processing applications using complex, noisy real-world data. + Demonstrated experience in conducting original scientific research through peer-reviewed publication or conference record Desired Qualifications: + Knowledge of electronics and typical laboratory test instruments, such as function generators, oscilloscopes and piezoelectric transducers + Experience with generative learning models like GAN, CVAE, etc. + Experience working with edge learning on, e.g. FPGA + Ability to adapt to new requirements for projects and be flexible to learn new areas of research as needed + Ability to obtain DOE Q clearance (usually requires US citizenship) Work Environment: Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. Note to Applicants: Contact: Dr. John Greenhall, ******************* Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. **Where You Will Work** Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: + PPO or High Deductible medical insurance with the same large nationwide network + Dental and vision insurance + Free basic life and disability insurance + Paid maternity and parental leave + Award-winning 401(k) (6% matching plus 3.5% annually) + Learning opportunities and tuition assistance + Flexible schedules and time off (PTO and holidays) + Onsite gyms and wellness programs + Extensive relocation packages (outside a 50 mile radius **Additional Details** Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad. *Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 (********************************************************************************************* for additional information. 426.2: This position is subject to DOE Order 426.2, Personnel Selection, Training, and Qualification Requirements for DOE Nuclear Facilities, which establishes entry-level requirements to ensure candidates selected for specific positions can successfully perform the requirements of the job. New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (*********************************************** for applicant eligibility requirements. Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to ****************** or call ************** opt. 3. How to Apply Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account: + Select the Click Here button if you have been employed with the Lab or received insurance coverage. + Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system. + Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated. Follow the instructions below if you have never been employed with the Lab or received insurance coverage to create an account: + Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account. + From here, you will establish an account with username and password. How to Apply: Login to Your Account to Complete the Application Process + Click the Vacancy Name number (in blue) to view any job's details. + Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account. If you experience any technical issues, please email ****************** for assistance.

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization. **Required Skills:** AI Research Scientist, CoreML - Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques 2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability 3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding 4. Design and implement generative modeling solutions for data augmentation 5. Research and develop graph-aware large language models 6. Develop and deploy AutoML pipelines 7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason 8. Use causal learning to identify and understand the cause and effect of relationships across data 9. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains 10. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field 13. Experience holding an industry, faculty, or government researcher position 14. Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas 15. Publications in machine learning, artificial intelligence, or related field 16. Programming experience in Python and hands-on experience with frameworks such as PyTorch 17. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 18. Experience taking ideas from research to production. 19. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 20. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Intended for students graduating with their Doctorate degree by December 2025, or have graduated within 12 months of start date. **Location:** this position is fully in office, in our Austin, Nashville, Santa Clara, or Seattle Hub. **The Program:** Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. **The Team:** At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We deliver innovative services at the intersection of artificial intelligence and cloud infrastructure. In the Generative AI Service team, you will build and operate massive-scale cloud services leveraging state-of-the-art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world's most challenging problems. The Oracle Cloud infrastructure business is growing at an incredible 52% annually. This kind of growth results from Oracle's strong legacy in helping organizations worldwide tackle their most complex challenges and its reputation for performance, reliability, and security. Join an outstanding team of researchers to advance the state-of-the-art in areas such as: + Generative AI Applications + Agentic Platforms + Reasoning and Planning + Retrieval Augmented Generation + Generative AI Evaluation + Responsible AI + Models' Verticalization + NL2Code, NL2SQL + Multimodal GenAI + Speech **The Company:** Oracle is the world's leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only transforming the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com (********************************** . **Responsibilities** **What You'll Do:** As an Applied Scientist in the Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area. you will play a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi-modality Models. Your contributions will be pivotal in delivering our new Generative AI-powered services for large scale enterprise customers. **Responsibilities:** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with global teams to drive projects from in-depth research to producing production-ready code + Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior machine learning engineers. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. + Work closely with cross-functional teams to integrate evaluation capabilities, identify new opportunities for evaluation, and explore emerging technologies. **What You'll Bring: (Objective Minimum Qualifications)** + Have a **PhD** in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) by **December 2025.** + Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + A background in Natural Language Processing and/or Computer Vision, Machine Learning, and Software Development, as well as experience in research and development, collaboration, and innovation. + Hands-on experience in one or more areas: ASR, TTS, S2S translation, conversational AI, or related NLP topics. + Proven analytical and problem-solving abilities in AI/ML or speech/language processing domains. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up to date with the field and applying academic advances to solve complex business problems and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences + Reside in the United States and/or attend a university in the US. + Able to obtain work authorization in the US in **2025.** **Preferred Qualifications:** + Knowledge of LLM and experience delivering Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Strong understanding of machine learning algorithms and architectures + Open-source contributions to the AI/ML community + Minimum 3.0 GPA Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Physical Demands Lifting a minimum of 30 pounds - Occasionally Standing - Frequently Walking - Frequently Bending - Frequently Squatting - Frequently Climbing - Occasionally Kneeling - Frequently Repetitive hand motion - Frequently Sitting - Frequently Prolonged use of computer - Frequently Minimum Qualifications Education: College student at NMHU enrolled with a minimum of six (6) credit hours High School Diploma or GED Experience: No experience to some clerical/office experience Preferred Qualifications Students currently enrolled in the B.S. in Forestry or B.A. in Conservation Management programs will be preferred. Individuals with prior experience in field research, technical tree climbing, seed collection, seed processing, nursery production environments, and/or tree planting will be preferred. Current NMHU defensive driver training is preferred, but training will be provided if needed.