PHD Researcher jobs at USRA

We are seeking a highly motivated and talented researcher to work on various aspects of AI safety, trust, and alignment in Fujitsu Research of America. We value individuals with a vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. Self-driven nature, creativity, communication skills, and attention to details are traits of a successful researcher in this role. Job responsibilities: Conduct research on developing novel algorithms in enhancing AI safety such as for a) countering deepfakes b) detecting and mitigating misinformation and disinformation, c) LMM alignment across cultures, d) agent safety check and agent guardrail and so on Conduct experiments and data analysis to evaluate the effectiveness of research findings on synthetic simulations and real world applications Publish findings in renowned scientific journals and conferences, while also showcasing achievements through invited talks and industry events Integrate various stages of technologies from early stage in-house developed to commercially available software to deliver impactful solutions in the real world Foster collaboration across interdisciplinary teams, including esteemed professors, to propel research endeavors forward Essential requirements: PhD in Computer Science or a related field Strong track record of publishing research in top-tier conferences and journals in AI, ML, CV, NLP, RL, HCI, etc. Expert-level knowledge and extensive experience in two or more of these areas: Generative AI (LLM, VLM, LMM, and AI agents), AI safety and alignment, Fair and trustworthy ML, Reinforcement learning, Deep learning, Privacy-preserving ML, Causal ML Proficiency in AI/ ML programming-Proven experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions Excellent oral and written communication skills US citizenship or greencard-we won't be able to sponsor work visas Preferred requirements: Design and prototype applications combining a variety of tools, software, and platforms Experience in integrating diverse technologies from multiple research domains Experience in interdisciplinary research collaborations Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $125,440 to $179,200 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance. As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits #LI-CF1 #LI-Remote

Research Scientist at Fujitsu's Self-Improving ML team (Santa Clara, CA) The Self-Improving ML team at Fujitsu aims to create algorithms that automatically improve themselves, enabling them to handle a wider range of tasks with improved accuracy while requiring less training data. About Fujitsu Fujitsu's mission is to make the world more sustainable by building trust in society through innovation. Fujitsu is the largest IT company in Japan and among the largest in the world. Join us in shaping the future of the world. ********************************************* About the role We are seeking creative researchers to join the Self-Improving ML team at our office in Silicon Valley. This is an opportunity to pioneer and prototype general-purpose AI algorithms for vision and text that possess the capability to enhance themselves autonomously. This position is suited for those who enjoy exploring profound questions in ML research, excel in roles that encourage ambitious open-ended objectives, and are highly motivated to make valuable contributions towards deploying general AI systems for a sustainable world. Only candidates with a PhD (or close to completion) will be considered. Job Responsibilities Research and prototype ML algorithms that automatically improve themselves to tackle a wider range of vision and text tasks. Demonstrate algorithmic improvements in increasingly more challenging vision and text tasks using a lower amount of data. Write high quality, scalable python code. Design and conduct experiments to explore and validate novel AI methodologies. Publish research papers in scientific journals and conferences. Showcase the work via presentations in talks, conferences, and workshops. Develop tools and strategies to deploy the research to projects for building a sustainable world. Apply the ML research projects to real world applications for building a sustainable world. Essential requirements We aim to keep growing our team's expertise across a broad spectrum, from creating and analyzing experiments to designing and implementing cutting-edge architectures at scale and deploy them at scale. To achieve this, we have the following requirements: • Only candidates with a PhD (or close to completion) in machine learning, computer science, neuroscience, mathematics, statistics, physics, or related fields will be considered. • Track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as publications or projects. • Possess the ability to own and pursue a research agenda and carry out long-running projects. • Experience with one or more deep learning libraries (PyTorch, TensorFlow, Jax) • Ability to collaborate effectively with multiple researchers in a large-scale research project and partner with the deployment team. It is essential to feel comfortable in a collaborative environment. Preferred requirements • Experience in interdisciplinary research collaborations. • Have experience in research mentorship. • Experience in creating high-performance implementations of deep learning algorithms. About the team Our research focuses on the next frontier: developing self-improving machine learning systems that leverage AI to optimize and enhance AI itself. Our core thesis is that by enabling AI systems to autonomously refine their own architecture, learning algorithms, and data utilization, we can achieve orders of magnitude improvement over current methodologies. An AI system is built upon three fundamental layers: the infraestructure layer, encompassing both hardware and software infrastructure; the modeling layer, which defines model architectures and training methodologies; and the data layer, where data selection and supervision strategies come into play. Traditionally, each of these layers relies heavily on human intervention, demanding specialized expertise and manual tuning. Yet, self-improving ML systems will be able to optimize these elements with unparalleled precision and efficiency, surpassing the capabilities of human experts. By pioneering self-improving ML, we aim to make AI not just a powerful tool for automatically solving today's challenges but a dynamic entity that can evolve independently to tackle the complex problems of tomorrow. This evolution goes beyond technological advancement; we believe it can drive meaningful change. Our research is contributing to more sustainable use of resources, reduce energy consumption, and ultimately enable AI to address environmental and societal challenges more effectively. Through this work, we aspire to harness AI's potential to make the world not only smarter but also more sustainable for future generations. Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $122,774.40 to $175,392.00 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance. As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits. #LI-KC1

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.

Intended for students graduating with their Doctorate degree by, or have graduated within, 12 months of cohort start date in June/July 2026. 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. 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 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

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.

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.

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.

Compensation Range: Hourly: $26.63 - $28.89 The School of Social and Behavioral Sciences (SSBS) at National University seeks applications for a 9-month Postdoctoral Fellow in either the Department of Marriage Family Sciences (DMFS). Fellows will have the opportunity to teach and learn in an online environment within a proven and evolving educational model. At National University, diversity and inclusivity are our greatest strengths and essential to good decision-making. Accordingly, we are keenly interested in supporting and mentoring a diverse pool of postdoctoral fellows. We strongly encourage applications from women and minorities. Postdoctoral Fellows in the SSBS teach graduate courses within a programmatic core discipline as assigned. Primary responsibility is to engage students, offer excellent feedback, and inspire students to achieve course and program outcomes relevant to the core discipline. Postdoctoral Fellows also come into the position with a proposal for professional scholarship and growth opportunities they want to pursue during the experience. This position works closely with other faculty teaching in the discipline, Associate Director of Faculty Support and Development, Department Chair, and Dean. Essential Functions: The role of Postdoctoral Fellow may include teaching courses within a programmatic core discipline as assigned. In addition, the following points will be discussed as part of the hiring process: Demonstrate a commitment to NU's vision, mission, and goals and those of the School of Social Behavioral Sciences. Promote a graduate culture of scholarship, teaching, service, and practice. Demonstrate commitment to and capacity for Teaching through Engagement and using the NU One-to-One, apprenticeship style teaching model. Participate in research and scholarship opportunities congruent with teaching load and Department expectations. Pursue opportunities for service to the profession as appropriate. Engage in relevant professional practice activities congruent with teaching load and Department expectations. Teach masters and/or doctoral courses in the DMFS. Participate in initial and ongoing training. Participate in trial use of new technologies and integrates new technologies into their teaching. Participate in school-specific and university postdoctoral networking meetings. Maintain contact with students via phone, video conferencing, and email through their courses. Work collaboratively with Academic and Finance Advisors to ensure student engagement and success. Exercise academic freedom in teaching course content and achieving learning outcomes in accordance with University policy, procedures, and curricula. Participate in program and student assessment procedures. Perform all educational services in accordance with NU policies and procedures, the Family Education Rights to Privacy Act, National University's Code of Conduct and all other state and federal laws. Tasks and projects as assigned by the Dean or NU administrators. Reasonable and consistent attendance to fulfill requirements of the position. Supervisory Responsibilities: N/A Requirements: Education & Experience: Doctoral degree from a regionally accredited institution with academic qualifications in an area aligned with the mission and offerings of the Department of Marriage and Family Sciences required. Experience teaching, working with, and mentoring diverse students strongly preferred. Experience in graduate level coursework and clinical training preferred. Proficiency in the use of technology in the delivery of education and online teaching experience are preferred. Curriculum development experience preferred. Experience working in a technology-driven enterprise preferred. Professional identity as a couple/marriage and family therapist Graduation from a COAMFTE accredited program strongly preferred. AAMFT Clinical Fellow and Approved Supervisor desirable. Competencies/Technical/Functional Skills: Skills in verbal and written communication. Skill in operating equipment, such as personal computer, fax, copier, phone systems. Ability to handle a diversity of details to make informed and responsive decisions on matters that impact the adjunct faculty, and students. Ability to read, analyze, and interpret periodicals, professional journals, technical procedures, and governing body regulations. Ability to write reports, business correspondence, and procedure manuals. Strong analytical and critical thinking skills. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Excellent organizational and communication skills, with a proven ability to provide timely, accurate information on a variety of academically oriented subjects to both internal and external constituents. Proficient with Microsoft Word and other applications in the Microsoft Office suite. Location: Remote, USA Travel: No travel required. #LI-Remote Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here. National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.

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, 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.

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence.As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Qualifications and Experience + 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. + Experienced leading senior scientists and early-career scientists. **Responsibilities** 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 multinational teams to drive projects from research POC to production. - Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. - Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. - Lead and mentor both junior and senior applied scientists. - 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. Preferred Qualifications - Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. - Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Education: + PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 8+ years relevant experience is preferred but not a must; OR + Masters or Bachelor's in related field with 12+ years relevant experience 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: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. 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 - IC5 **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 F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Senior Cybersecurity Threat ResearcherAbout F5 Life at F5 is never dull. We are constantly identifying industry trends and disruptions, and innovating to get ahead of future customer needs. We are passionate about securing applications for our customers, which include the Global and Fortune 100, federal and local government services, and many others worldwide. But our success isn't driven solely by what we do. We also care deeply about how we do it. At F5, our culture is how we live, every single day. And it's producing extraordinary results-not only for our customers, but also for our employees. We understand that your life is about more than just work, so we're committed to a culture that supports your whole life. For this role, we are offering a fully remote work arrangement with F5's exceptional benefits. Position Summary F5 Labs is seeking a driven, analytical, and articulate cybersecurity researcher with a strong interest in artificial intelligence and its security implications. You'll join our small, focused threat research team to uncover attacker behavior, explore the dual use of AI in cybersecurity, and clearly communicate findings to both technical and non-technical audiences. As a Senior Cybersecurity Threat Researcher, you'll investigate malicious traffic, analyze how attackers are adopting and targeting AI, experiment with LLM-powered applications and agents, and create tools, prototypes, or datasets to support both defensive research and the wider security community. You will help shape F5's thought leadership on how AI transforms the threat landscape-both as a weapon for attackers and a tool for defenders. This is an ideal role for someone who enjoys autonomy, can own projects from idea to publication, and is equally comfortable writing Python as they are writing a blog post, building an LLM-based proof of concept, or presenting at an industry event. Primary Responsibilities Research and analyze malicious traffic, attacker behavior, and the emerging role of AI in offensive and defensive security Investigate and document adversarial ML/AI techniques, AI-driven automation, and misuse of generative AI in real-world attacks Build small tools, LLM-based applications, or datasets that demonstrate AI's role in security (both protective and adversarial) Explore and prototype with modern frameworks such as Model Context Protocol (MCP) and agent-based systems Translate complex findings into articles, reports, visuals, or presentations for a wide range of audiences Collaborate with a small team of researchers, engineers, and communicators to deliver timely and relevant insights Represent F5 Labs externally via blog posts, webinars, podcasts, media interviews, and industry events Support marketing and sales enablement efforts with high-impact research and commentary Maintain a strong understanding of offensive and defensive practices, with particular focus on web, API, bot, DDoS, and AI-related threats Optionally, participate in proactive research efforts including honeypots, probing attacker infrastructure, and experimenting with AI-powered defense systems Core Skills Desired ~10 years of experience in cybersecurity or a closely related field Strong grasp of common web, cloud, and API protocols and their associated attack surfaces (e.g., HTTP/S, REST, OAuth, DNS, TLS, etc.) Experience analyzing network, application, or AI telemetry to extract meaningful security insights Strong coding and data handling skills, especially in Python and Jupyter (SQL or BigQuery a plus) Ability to prototype with LLM APIs, frameworks, or agents; familiarity with building AI-enabled applications Excellent written, visual, and verbal communication skills, with a clear ability to tell stories with data A self-starter who can independently define and deliver meaningful research projects Public speaking experience or a willingness to represent research externally Enthusiastic about educating others and promoting good security practices Bonus Points For Background in threat intelligence, red teaming, or application-layer defenses Experience building or analyzing honeypots or engaging with attacker infrastructure Practical understanding of adversarial ML, data poisoning, prompt injection, model theft, and AI supply chain risks Familiarity with MCP, LangChain, or agent orchestration frameworks Experience with bot mitigation, DDoS defense, or abuse/fraud detection Contributions to open-source AI or security projects, blogs, or research papers Qualifications BSc or equivalent experience in cybersecurity, computer science, or a related field Industry certifications such as CISSP, OSCP, or CEH are welcome but not required Experience working with AI or security datasets and publishing externally preferred A visible presence in the AI security or cybersecurity research community is a plus, but not required The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. The annual base pay for this position is: $156,800.00 - $235,200.00 F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5's differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: ******************************************* . F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com). Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

Who We Are Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world's largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we're entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG. What you'll do Conduct experimental studies on various natural language processing and machine learning tasks to assess the accuracy and quality of pre-existing models Help the transition of research models into production on different platforms Conduct proof-of-concept experiments on lab and customer data Publish patents and peer-reviewed papers in top machine learning conferences Help your teammates in reviewing their research projects Propose new ML models that improve Pindrop products Leverage cloud AI platforms, including: AWS Bedrock (Converse API, Agents, Knowledge Bases, Guardrails) Google Cloud Vertex AI (Gemini API, Agent Builder, Vector Search, Search & Grounding, Model Garden) Champion Responsible AI, including safety guardrails, red-teaming, fairness/bias testing, and human-in-the-loop workflows. Who you are You are a creative problem solver who is excited about building amazing products that add real value to millions of people You are enthusiastic about natural language processing as well as developing research ideas into products You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders You are a self-starter and excel in a fast-paced, dynamic environment You are resilient in the face of challenges, change, and ambiguity You are optimistic and believe that you can make a problem into a solution You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed You take accountability, do the things you say you'll do, under-promise and over-deliver You are nimble and adaptable when priorities change and continue to see the “forest through the trees” Your skill-set Master's and/or PhDs in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) required 3+ years of professional experience as a researcher in natural language processing, authorship verification, language models, intent recognition, emotion detection, and/or generative AI. Experience with natural language processing required Experience using AI-driven code research and development using AI assistants (eg, Anthropic or Copilot) Strong Python skills Experience with ML frameworks: PyTorch, TensorFlow, Keras Proven track record of peer-reviewed publications at prestigious conferences and journals. Proven track record of successful and timely project delivery Strong collaboration & proven success in partnering with stakeholders Preferably, you have experience with NLP competitions and challenges (PAN, Kaggle, NIST SRE, Chime, etc.) Preferably, you have deep knowledge of authentication, fraud, or customer experience concepts Preferably, you have experience communicating with internal and external customers around proof-of-concepts, issues, etc. What's in it for you As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We're a passionate group committed to excellence - but that doesn't stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO. You will also be part of Pindrop's Research team, working on revolutionary research ideas against deepfake threats. This role provides the opportunity to work on cutting-edge technology, collaborate with experts to enhance real-time communication safety, and contribute to innovative solutions. Within 30 days, you'll Understand Pindrop as a product and the voice technology space. Dive into your role and understand how your success will be measured. Get acclimated to your surroundings and your team, including meeting with your onboarding buddy and key department members. Read through the Pindrop Lexicon to familiarize yourself with company terms and complete any required role-based training. Be introduced to your team and colleagues and added to any standing meetings, such as 1:1s, standups, and weekly touchpoints. Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers. Within 60 days, you'll Accomplish some quick wins and start adding value, particularly within your immediate responsibilities. Establish relationships with key partners for continued collaboration and build your Objectives and Key Results (OKRs) for the next quarter. Understand expectations for the team and be able to start planning for development and contributing to projects. Start a research project agreed upon with your direct manager. Within 90 days, you'll Schedule and complete a 90-day check-in with your manager to discuss wins, blockers, and next steps. Have an intermediate level of familiarity with the products and corresponding research initiatives. Start executing against the research roadmap and contribute significantly to team objectives. What we offer As a part of Pindrop, you'll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here's a snapshot of the benefits we offer: Competitive compensation, including equity for all employees Unlimited Paid Time Off (PTO) Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! Best-in-class Health Savings Account (HSA) employer contribution Affordable vision and dental plans for you and your family Employer-provided life and disability coverage with additional supplemental options Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents One year of diaper delivery for your newest addition to the family! It's our way of welcoming new Pindroplets to the family! Identity protection through Norton LifeLock Recurring monthly Phone and Internet allowance One-time home office allowance Remote first environment - meaning you have flexibility in your day! Company holidays Annual professional development and learning benefit Pick your own Apple MacBook Pro Retirement plan with competitive 401(k) match Wellness Program, including Employee Assistance Program, 24/7 Telemedicine #LI-Remote Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer. US Base Pay Range $150,000-$175,000 USDWhat we live by At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work: Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible. Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time. Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

Compensation Range: Hourly: $75.00 - $75.00 The Part-Time Researcher for Lab Development will support a research grant. This position will play a key role in developing hands-on learning experiences using the Haiku Forge tool. This position offers a unique blend of technical skill development and educational content creation, to contribute significantly to the advancement of cybersecurity training methods. The primary responsibilities will include supporting the development of innovative cybersecurity labs and creating comprehensive training materials for the Haiku Forge tool. This position is 100% grant funded. Essential Functions: Support the development of lab content mapped to various certifications like CompTIA CASP+ and CompTIA Network+. Collaborate with a learning experience designer to create lesson plans, video content, and other content for the creation of lab content in the Haiku Forge Platform. Submit work summaries and reports based on your work and research. Collaborate with fellow researchers, faculty, and other stakeholders to ensure the success of the research projects. Participate in regular team meetings and provide updates on progress. Supervisory Responsibilities: N/A Requirements: Education & Experience: Bachelor's degree in a technical area required. Experience participating in online cybersecurity labs required. Experience creating cybersecurity labs required. CompTIA Security+ Certification preferred. Experience using the Haiku Cyber Range preferred. Ability to work up to 20 hours per week Monday-Friday. Must have a personal computer and the ability to facilitate online collaboration and communications remotely. Must reside in the United States and be a U.S. citizen. Competencies/Technical/Functional Skills: Knowledge of DevOps. Knowledge of JSON. Knowledge of CompTIA Certifications. Participate actively as a team member, contributing fully to the team's efforts and the organization's success. Strong organizational skills: Ability to manage multiple tasks and deadlines efficiently. Ability to write technical content. Location: Remote Travel: None #LI-NK1 #LI-Remote Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. The minimum salary will be offered based on the minimum exemption threshold based on state of residency. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For Part-time benefits, please click here. National University is committed to maintaining a high-quality, diverse workforce representative of the populations we serve. National University employs more than 5,000 faculty and staff and serves over 41,000 students. We are united in our mission to meet the global education demands of the 21st Century and are dedicated to creating a supportive academic and work environment that allows students, faculty and staff to develop their interests and talents while experiencing a sense of community and a commitment to diversity. With programs available both online and at our many campus locations, National University is a leader in creating innovative solutions to education and meeting the needs of our diverse student population, including adult learners and working professionals. National University offers an opportunity to work in an innovative environment that supports diversity. National University (NU) is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a diverse mix of highly talented, innovative and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, family care status, veteran status, marital status, creed, religion, sex, gender, sexual orientation, religion, ethnicity, national origin, and other legally protected group status.

Oracle Health Data Intelligence (HDI) is at the forefront of transforming healthcare through data and AI. To accelerate growth for our top global customers via the development and deployment of AI agents on our AIDP platform, we are seeking a Senior Principal Applied Scientist (IC5). In this strategic role, you will lead complex engagements with nations, states, providers, payers, and life sciences partners to design and deliver high-impact data applications on Oracle's AI Health Data Platform. You will serve as a bridge between customers and product engineering, ensuring that innovation and feedback loops are tightly aligned to business and regulatory realities. Your leadership will directly support Oracle Health's mission to improve outcomes and reduce costs through human-centric, data-driven healthcare transformation. This is a high-visibility, high-impact individual contributor role for someone who thrives at the intersection of AI innovation, healthcare strategy, and large-scale solution delivery. 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: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral. 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 - IC5 Key Responsibilities 1. Strategic Technical Leadership Serve as the senior technical authority on designing and delivering AI/ML-powered health data applications, with a focus on AI agents, generative AI, and LLM architectures for large, regulated healthcare systems. Architect end-to-end solutions that leverage Oracle's AIDP platform to solve population health, research, and clinical interoperability challenges at global scale. Influence product roadmaps by representing real-world customer requirements, regulatory constraints, and innovation opportunities to senior product and engineering leadership. 2. Advanced GenAI & LLM Innovation Lead the development, fine-tuning, and deployment of domain-specific LLMs and AI agents for healthcare use cases, including clinical summarization, interoperability, documentation automation, and predictive insights. Apply cutting-edge techniques such as RLHF, multi-modal data fusion, and knowledge grounding to improve accuracy, safety, and real-time performance. Set technical direction for GenAI initiatives across HDI, mentoring teams and shaping best practices for scalable, production-grade healthcare AI. 3. Complex Solution Architecture & Delivery Lead high-stakes solution engagements for top global customers, translating ambiguous clinical and operational needs into scalable, compliant architectures. Oversee the design of data ingestion and RAG pipelines, ensuring interoperability with EHR standards (e.g., FHIR, HL7) and adherence to security frameworks (e.g., HIPAA, HITRUST). Partner with field engineering, implementation, and customer success teams to ensure frictionless deployment, integration, and adoption. 4. Stakeholder Engagement & Thought Leadership Act as a trusted advisor to C-level executives, public sector leaders, and healthcare strategists on how AI agents can drive system-wide transformation. Represent Oracle at industry forums and regulatory discussions, helping shape the future of responsible healthcare AI. Publish technical insights, speak at conferences, and mentor Principal-level engineers and scientists to grow organizational capability. 5. Operational Excellence & Performance Optimization Establish rigorous evaluation, monitoring, and optimization frameworks for AI solutions to ensure real-time, high-accuracy performance in clinical environments. Drive innovation cycles by continuously feeding field learnings back into model architectures and platform capabilities. Qualifications Education: Master's degree in Computer Science, Machine Learning, AI, or related field required; Ph.D. strongly preferred. Experience: 10+ years of experience in AI/ML solution development, with 5+ years in senior or principal technical roles. Proven track record leading large-scale, production AI deployments in healthcare or other regulated industries. Demonstrated experience influencing cross-functional roadmaps and driving strategic outcomes with global customers. Technical Skills: Deep expertise in GenAI, LLMs, and AI agent frameworks (e.g., GPT architectures, retrieval-augmented generation, orchestration frameworks). Advanced proficiency in Python and libraries such as Hugging Face Transformers, TensorFlow, or PyTorch. Strong understanding of multi-modal data integration, clinical interoperability standards (FHIR, HL7), and regulatory frameworks. Experience with distributed systems and cloud platforms (OCI, AWS, Azure, or GCP). Leadership & Communication: Exceptional ability to engage with senior business and technical stakeholders, drive adoption of complex AI solutions, and influence organizational direction. Proven ability to operate effectively in ambiguous, high-impact environments, balancing innovation with compliance. Why Oracle Health Data Intelligence At HDI, you'll help build the next generation of intelligent healthcare systems-where AI agents, LLMs, and data platforms work together to improve patient outcomes, reduce systemic waste, and enable global health innovation. Join us to shape the future of healthcare.

Research Scientist We are currently seeking an enthusiastic, innovative and motivated individual with a scientific background in oncology, neuroscience, inflammation or toxicology to join our team as a Research Scientist. In this role, you would be working on cutting edge research in the fields of tissue and organ-on-chip systems. The primary responsibilities will include planning and executing experiments, as well as analyzing and presenting data in written reports. Some immediate research areas will include designing cellular assays and microfluidic devices for organ-on chip models. In addition to on-going research projects, the scientist in this role will contribute to developing new models and assays and support proposal (and white paper) development as opportunities arise. Candidate will need to demonstrate strong communication skills while interacting with multiple stakeholders (internal and external) to shape technical solutions as well as communicate information to both customers and collaborators. Requirements: * Position requires at least a Bachelor's Degree in molecular biology, microbiology, cell biology, immunology or biological sciences - preferred candidate will have at least a Master's Degree (PhD is a plus) * Hands-on experience in primary cell culture and cell-based assays, as well as molecular biology, immunology and biochemical techniques. Additional Qualifications: Experience with designing cellular assays and microfluidics will be considered a plus. About the Company: SynVivo Inc. is a privately owned biotechnology company developing 3D tissue and organ-on-chip models with applications in drug development and personalized medicine. See more at ****************** Benefits: SynVivo offers a competitive salary and benefits including medical, vision, and dental insurance. Performance appraisals occur each year and pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, individual bonuses are awarded for exceptional performance. Please forward your resume to ****************** to be considered for this position. If you would like to be considered for other positions please send us your resume at *******************.

Job Description Research Scientist We are currently seeking an enthusiastic, innovative and motivated individual with a scientific background in oncology, neuroscience, inflammation or toxicology to join our team as a Research Scientist. In this role, you would be working on cutting edge research in the fields of tissue and organ-on-chip systems. The primary responsibilities will include planning and executing experiments, as well as analyzing and presenting data in written reports. Some immediate research areas will include designing cellular assays and microfluidic devices for organ-on chip models. In addition to on-going research projects, the scientist in this role will contribute to developing new models and assays and support proposal (and white paper) development as opportunities arise. Candidate will need to demonstrate strong communication skills while interacting with multiple stakeholders (internal and external) to shape technical solutions as well as communicate information to both customers and collaborators. Requirements: • Position requires at least a Bachelor's Degree in molecular biology, microbiology, cell biology, immunology or biological sciences - preferred candidate will have at least a Master's Degree (PhD is a plus) • Hands-on experience in primary cell culture and cell-based assays, as well as molecular biology, immunology and biochemical techniques. Additional Qualifications: Experience with designing cellular assays and microfluidics will be considered a plus. About the Company: SynVivo Inc. is a privately owned biotechnology company developing 3D tissue and organ-on-chip models with applications in drug development and personalized medicine. See more at ****************** Benefits: SynVivo offers a competitive salary and benefits including medical, vision, and dental insurance. Performance appraisals occur each year and pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, individual bonuses are awarded for exceptional performance. Please forward your resume to ****************** to be considered for this position. If you would like to be considered for other positions please send us your resume at *******************. Job Posted by ApplicantPro

Research Scientist We are currently seeking an enthusiastic, innovative and motivated individual with a scientific background in oncology, neuroscience, inflammation or toxicology to join our team as a Research Scientist. In this role, you would be working on cutting edge research in the fields of tissue and organ-on-chip systems. The primary responsibilities will include planning and executing experiments, as well as analyzing and presenting data in written reports. Some immediate research areas will include designing cellular assays and microfluidic devices for organ-on chip models. In addition to on-going research projects, the scientist in this role will contribute to developing new models and assays and support proposal (and white paper) development as opportunities arise. Candidate will need to demonstrate strong communication skills while interacting with multiple stakeholders (internal and external) to shape technical solutions as well as communicate information to both customers and collaborators. Requirements: • Position requires at least a Bachelor's Degree in molecular biology, microbiology, cell biology, immunology or biological sciences - preferred candidate will have at least a Master's Degree (PhD is a plus) • Hands-on experience in primary cell culture and cell-based assays, as well as molecular biology, immunology and biochemical techniques. Additional Qualifications: Experience with designing cellular assays and microfluidics will be considered a plus. About the Company: SynVivo Inc. is a privately owned biotechnology company developing 3D tissue and organ-on-chip models with applications in drug development and personalized medicine. See more at ****************** Benefits: SynVivo offers a competitive salary and benefits including medical, vision, and dental insurance. Performance appraisals occur each year and pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, individual bonuses are awarded for exceptional performance. Please forward your resume to ****************** to be considered for this position. If you would like to be considered for other positions please send us your resume at *******************.

Posting Type Hyrbid At Relativity, we're building a world-class Applied Science team to push the boundaries of intelligent systems in the legal domain. We're looking for a Staff Applied Scientist to join our team. Agentic AI-systems that perceive, think, and act-is not a far-off vision for us. It's already embedded in how Relativity aiR makes document review faster, more accurate, and more scalable than ever before. Our models interpret legal intent, reason across documents, cite their decisions, and automate thousands of hours of work-freeing legal professionals to focus on what matters most. This is your chance to contribute to the next generation of applied AI in legal tech: to build intelligent, safe, and defensible systems that scale human capability. Why This Work Matters Our Applied Science team are the brains behind Relativity aiR, the most scalable workflows in legal tech-automating decision-making in document review, privilege detection, and case strategy. These aren't just LLM wrappers; they're intelligent systems that reason, cite their thought process, and operate at scale across millions of documents. We're solving problems that matter in one of the most high-stakes domains out there. Our customers rely on us to build systems they can trust-systems that are auditable, defensible, and responsible by design. You'll help us extend those systems, validating AI decisions statistically, simplifying complexity for users, and pushing the boundaries of what's possible while keeping experts in the loop. Why Relativity? We're not just building products-we're building a better future for legal work. Our Applied Science team is 20 strong and growing. You'll be joining a thoughtful, kind, and technically excellent group who value impact, learning, and trust. This role is a chance to lead, contribute, and grow in a supportive and intellectually rich environment. Job Description and Requirements What You'll Do Write code that solves real customer problems and scales cleanly… Built to be easy to ship, operate, and maintain. Collaborate with fellow Applied Scientists… And with our Engineers, Product Managers, Designers, and Customers. Design and execute statistically sound experiments… Then automate them into reusable benchmarks. Rapidly build AI- and ML-powered prototypes… Then turn them into reliable, scalable production models. Select the right model for each task… Be it a decision tree or a frontier LLM. Stay grounded in evidence… And open to change. Who You Are 6-10+ years of professional experience in ML, Applied Science, or a closely related area. Hold a Master's or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Applied Math) OR equivalent professional experience. Proven ability to move fast without breaking everything: you know how to prototype-and how to simplify for production. Comfortable reading and applying research; skeptical enough to validate the results. Experienced with a range of modeling techniques-from classic ML to large-scale generative models. Familiar with modern MLOps tooling (e.g., containers, workflow orchestration, telemetry, deployment patterns and experimentation). Capable communicator, able to explain complex ideas to technical and non-technical stakeholders alike. Humble, curious, adaptable. Not afraid of failure. Not afraid to lead. Not afraid to ask questions. End-to-end owner - able to understand and learn about our problem space, devise solutions and bring them to market alongside our engineering, product and support organizations Strong Python Programmer, experienced in various data and machine learning libraries (e.g. numpy, pytorch, scikit-learn, pyspark) Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $197,000 and $295,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Suggested Skills: Algorithms, Computer Vision, Data Analysis, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Natural Language Processing (NLP), Python (Programming Language), Scientific Research