Principal research scientist jobs in Round Rock, TX

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.

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Job Description The Principal Scientist provides high-level technical expertise, leading and executing critical research and development efforts and shaping scientific strategy for the organization. Core Responsibilities Serve as technical lead for complex projects, guiding formulation and process development strategy from concept through commercialization. Define scientific direction for new programs and ensure alignment with business objectives and portfolio priorities. Plan and perform experiments to develop drug formulations, processing methods, and analytical assays. Generate and interpret data; adjust experimental plans based on findings and scientific rationale. Write technical documents such as protocols, study reports, and CMC sections for regulatory submissions. Evaluate and integrate cutting-edge technologies and external collaborations to advance scientific capabilities. Represent the organization at scientific conferences, client meetings, and technical forums as a subject matter expert. Review and critique scientific literature and competitor technologies to inform program direction and innovation. Mentor scientists and support succession planning within the R&D team by developing future leaders. Contribute to long-term strategic planning for the research and development portfolio. Ensure compliance with quality and regulatory standards across research activities and promote a culture of scientific excellence. Draft Master Batch Records. Interface with clients prior to and during development batches. Other duties as assigned. Technical Competencies Deep expertise in pharmaceutical sciences with a focus on solid oral dosage forms containing small molecule drugs, coupled with awareness of current industry trends, emerging technologies, and regulatory expectations. Expertise in formulation principles and process development specific to solid oral dosage manufacturing (e.g., blending, granulation, compression, encapsulation, coating). Ability to design and troubleshoot experiments, execute the preparation of prototypes, and apply statistical tools for data analysis and interpretation, including evaluation of dissolution, disintegration, hardness, friability, and related performance metrics. Ability to integrate external scientific and technical insights-such as novel excipients, advanced processing technologies, and predictive modeling-into development strategies to expand organizational capabilities and drive innovation in oral solid dosage forms. Strong track record of innovation and successful product development for solid oral dosage forms across all stages, from preclinical to commercial launch, including lifecycle management. Proficiency in scientific communication, including peer-reviewed publications, conference presentations, client interactions, and thought leadership within the solid oral dosage field. Knowledge of global regulatory landscapes and ability to translate scientific understanding into strategic development and risk-mitigation plans for oral solid dosage research programs. Behavioral Competencies Fosters a culture of scientific excellence and continuous learning across the organization. Develops future leaders and mentors across departments and disciplines. Demonstrates adaptability and open-mindedness to new ideas and changing landscapes. Collaborates effectively across internal and external networks to build partnerships and drive projects. Education and Experience Requirements PhD with 10+ years of experience, or equivalent combination of education and experience, in pharmaceutical sciences. Recognized authority in specialized areas of pharmaceutical research, evidenced by publications and industry contributions. Experience leading cross-functional research initiatives and external collaborations. THIS POSITION IS NOT ELIGIBLE FOR VISA SUPPORT OF ANY KIND Powered by JazzHR fQl0bWvxpF

We are seeking a highly skilled and innovative Senior Scientist to lead the development of next-generation molecular diagnostic assays with a focus on rapid PCR technologies and sample preparation workflows. The successful candidate will drive new assay designs from concepts through feasibility, ensuring scientific rigor, data quality, and regulatory-grade documentation. This role requires deep technical expertise in molecular biology, strong data analysis and interpretation skills, and the ability to design experiments that accelerate product development timelines. The individual will work as part of Nuclein's Assay Research team, reporting to Nuclein`s Chief Scientist. Essential Duties and Responsibilities. · Work independently on Nuclein`s assay and chemistry research efforts for the company's menu test pipeline · Design, develop, and optimize rapid/fast-cycle PCR and qPCR assays for DNA and RNA targets. · Lead feasibility and development studies to evaluate assay performance (LOD, linearity, specificity, robustness). · Innovate sample preparation and extraction workflows compatible with automated or integrated molecular platforms. · Develop statistically sound study designs and analyze large datasets using tools such as JMP, Excel, R, or Python. · Perform kinetic and efficiency analyses, baseline correction, and melt curve interpretation for assay optimization. · Interpret experimental results, troubleshoot issues, and propose data-driven solutions. · Prepare detailed technical reports, development summaries, and design control documentation (per ISO 13485 or FDA guidelines). · Design and execute experiments and test protocols to demonstrate proof-of-concept and feasibility for new assay oligo designs/formulations/new chemistries. · Work closely with the company's Development group, providing integration support for new, and existing assays · Able to analyze and document experimental data/results; write detailed project plans and feasibility reports · Investigate field and customer complaints/issues for on-market Nuclein assays Education, Qualifications, and/or Experience. · Ph.D. in a relevant scientific discipline, such as molecular biology, chemistry or a related field or equivalent years of education and experience combined, minimum of 7 years industrial experience. · Expertise in quantitative PCR optimization, nucleic acid extraction from biological specimens, or microbiological culture preferred. · Experience with microfluidic or cartridge-based molecular systems. · Background in qPCR data processing, automation scripting, or DOE (Design of Experiments). · Proficient with statistical analysis methods applicable to molecular assay development. · Strong analytical and problem-solving skills, with the ability to interpret complex data sets and draw meaningful conclusions. · Excellent communication skills, both written and verbal, with the ability to effectively present scientific findings to internal and external stakeholders. · Collaborative mindset with the ability to work effectively within multidisciplinary teams. Physical Requirements. · Repetitive Motion: Use of laboratory equipment and computer use · Weightlifting: Up to 50 lbs. · Position: Sitting and standing · Use of PPE may be required in laboratory areas THIS POSITION IS 100% ONSITE IN AUSTIN, TX. CANDIDATES MUST CURRENTLY LIVE WITHIN COMMUTING DISTANCE TO BE CONSIDERED. NO SPONSORSHIP IS BEING OFFERED AT THIS TIME. View all jobs at this company

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Discover Impactful Work The candidate will be part of the Bioinformatics R&D team in Clinical Next Generation Sequencing Division and will be responsible for primer design for the development of targeted sequencing panels, pipelines and algorithms for next-generation DNA sequencing. The role will focus on designing panels for plants and animals for agricultural applications. As the leading supplier of life science technology and related applications, we are helping life scientists understand and use the power of genomics to pursue new scientific discoveries and advance clinical research in personalized medicine. A day in the Life Design assays for custom targeted sequencing panels for external researchers. Understand the core scientific questions and design assays to address these questions. Work closely with external customers to understand their requests and provide the best design solution that meets their needs. Develop, maintain, and operate bioinformatics pipelines for assay design, data mining and analysis. Improve the designs by iterative analysis of the sequencing data obtained. Develop heuristic rules, optimization, and algorithms to improve the design pipeline. Identify and implement new technologies and methods for optimizing and automating the pipeline for primer design, data analysis, storage, and sharing. Keys to Success Education PhD in bioinformatics, computational biology, statistics, Genomics or biological sciences with 1 year of relveant working experience MS with 3+ years of relevant working experience Experience Proficiency in Python and shell scripting. Experience with REST APIs, AWS (S3, containerization, Kubernetes). Hands-on experience with bioinformatics production systems. Experience with sequence analysis tools (e.g., BLAST, MAFFT/Clustal, Bowtie/BWA, samtools/bedtools) and strong understanding of genomic databases/annotations (e.g., GenBank/RefSeq, ENSEMBL, UCSC). Understanding of NGS data and common analyses (genotyping, gene expression, comparative genomics, genetic mapping); appreciation of statistical methods and mathematical models for interpreting biological data. Plant‑genome familiarity: experience addressing challenges typical of plant genomes (e.g., polyploidy and repeats) and designing assays across cultivars/varieties; familiarity with genome resources such as Ensembl Plants/RefSeq. Knowledge, Skills and Abilities Strong communication and organizational skills; self‑motivated and collaborative with excellent problem‑solving and troubleshooting abilities Committed to delivering high‑quality results on time with integrity and professionalism. Benefits We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Compensation and Benefits The salary range estimated for this position based in Texas is $101,725.00-$131,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: *****************************************************

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset - Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. This position will be responsible for performing non-research molecular testing of samples for potentially containing biological threat agents. Ensures incoming operational, QA, and other sample types are processed while maintaining chain of custody. Prepares reports, answers questions, troubleshoots, and makes recommendations to the supervisor for inclusion in comprehensive reports. Maintains and operates equipment properly and in a safe manner, including performing routine calibrations and adjustments. Performs all procedures in accordance with proper handling and storage of various materials. Additionally, will be responsible for maintaining knowledge and skills related to position and program. Laboratory operations are 7 days a week. Team members take turns with weekends and holidays to ensure results are reported each day. In the event of a public health emergency, extended work hours and alternative shift work may be required to maintain temporary emergency 24/7 operations. Kindly be aware that a pre-employment drug screening is a requirement. REQUIRED QUALIFICATIONS: Bachelor's degree from an accredited university in microbiology, molecular biology, or related course work in biological sciences. REQUIRES at least one year of laboratory bench experience, utilizing PCR, aseptic techniques and experience with biological assays. Laboratory training that is assigned or accompanies an associated course is not considered applicable training This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application. A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status. Verification of education may be requested before or during the hiring process.

We're not just a workplace - we're a Great Place to Work certified employer! Proudly certified as a Great Place to Work, we are dedicated to creating a supportive and inclusive environment. At Sonic Healthcare USA, we emphasize teamwork and innovation. Check out our job openings and advance your career with a company that values its team members! Position Summary SRL is the national reference laboratory for Sonic Healthcare USA. As part of this esoteric testing lab, our staff gain new experiences with a unique test menu within a culture of quality and innovation, where we focus on lean processes fueled by a belief in empowered continuous improvement. We pride ourselves on a work environment dedicated to mutual respect where trust and team spirit are an integral part of our daily routine. The Junior Core Lab Development Scientist is responsible for conducting research and development of new assays in a reference laboratory setting. This position works closely with the Core Scientific Director, R&D Scientist, and Senior R&D Scientist to maintain launched assays throughout their production life including transition of current assays on replacement instrument platforms, assist/conduct verification/validation studies of novel assays in the core laboratory, and assist/lead special projects as required. Duties & Responsibilities Assist/Conduct research and development of new assays in the Core Lab Assists/Coordinates with manufacturers and other laboratories for validation/verification materials Assists/performs validation/verification studies by conducting runs and collecting data Assists/Insures proper LIS build, instrument interfacing, and results reporting Assists/Composes validation plans, summaries, and standard operating procedures Adheres to defined time line for development of assays Maintain launched assays throughout production life Transitions current assays on replacement instrument platforms Transitions current assay across different reagents with identical methodologies Utilizes technical skills/abilities to perform laboratory testing as needed Ability to competently perform moderate and high complexity testing Follows laboratory procedures for specimen handling and processing, test analysis, reporting and maintaining records of patient results Understands and operates test systems proficiently Ability to troubleshoot test systems and take appropriate action where indicated Maintain bench competency as assigned Utilizes job knowledge, judgment and problem solving skills to ensure quality Follows established policies and procedures for quality control performance and documentation Performs and documents scheduled and unscheduled preventative maintenance on instruments while in R&D phase Identifies problems which may adversely affect test performance or reporting of test results and takes appropriate action, including supervisor notification if indicated Understands and follows all safety, infection controls and OSHA Bloodborne Pathogen guidelines Participates in departmental quality assurance programs Participates in the laboratory continuing education program Effectively utilizes departmental resources Demonstrates efficiency by performing procedures rapidly and determining priority Utilizes appropriate supplies with minimal waste Operates equipment to maximize efficiency and minimize downtime Utilizes unstructured time constructively Utilizes personal and professional skills to promote laboratory relations Communicates with laboratory staff and its clients to ensure quality patient care Maintains and supports a service oriented relationship with affiliate labs Respects and maintains the confidentiality of information relative to clients and patients Strives to maintain a positive work environment Enthusiastically performs miscellaneous duties with completion in a designated time frame Qualifications Knowledge, Skills, and Abilities: Required: Knowledge of basic clinical laboratory technique (e.g. ELISA, CLIA, clinical chemistry, IFA) Ability to monitor experiments, read, analyze and interpret technical reports Ability to write accurate and concise documents Ability to perform assays and collect data Effectively communicates via written, verbal, face-to-face, telephone and computer methods Experienced with computer software including MS Excel, MS Word, MS Outlook. Operational knowledge of complex lab instrumentation Ability to handle multiple priorities and manage stress appropriately Preferred: Experimental design Experience with laboratory information systems Advanced experience/knowledge in process design and workflow management Education and Experience: B.S. degree in Medical Technology or Chemical, Biological, or Physical Science AND 3 years of pertinent laboratory experience OR a M.S. degree in Medical Technology or Chemical, Biological, or Physical Science AND 2 year of pertinent laboratory experience Licensure and Certifications: Preferred: Certified as Medical Technologist or Clinical Laboratory Scientist, by the American Society of Clinical Pathologists (ASCP) OR equivalent certification Scheduled Weekly Hours: 40 Work Shift: Job Category: Laboratory Operations Company: Sonic Reference Laboratory, Inc Sonic Healthcare USA is an equal opportunity employer that celebrates diversity and is committed to an inclusive workplace for all employees. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, age, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Biocompatibility team plays a critical role in supporting the manufacture of Neuralink devices by ensuring product safety, quality, and regulatory compliance. We specialize in a range of essential processes, including toxicological risk assessments, batch release testing, chemical characterization, general analytical testing (such as mass spectrometry, chromatography, pH/conductivity, and general chemistry), microbiological testing (bioburden, environmental monitoring, and more), material analysis, clinical chemistry, and in-vitro biocompatibility assays. Job Description and Responsibilities: As a Biocompatibility Scientist, you will drive the development of in-vitro biocompatibility methods to advance the safety of our brain-computer interface technologies. This role offers the opportunity to own key processes in a collaborative, fast-paced environment focused on innovative medical devices, while ensuring alignment with regulatory standards like ISO 10993 and OECD guidance. The Biocompatibility Scientist will: Assist with the setup of necessary laboratory equipment, including calibration and qualification, if needed Lead the development, validation, and ongoing sustainment of in-vitro biocompatibility assays, ensuring reproducibility, appropriate endpoints, and compliance with international guidance Support general laboratory operations, including equipment management, calibration, and routine maintenance tasks to maintain a safe and efficient workspace Collaborate with engineering teams to provide expert consultation on the selection of materials and chemical agents used in manufacturing processes Prepare toxicological risk assessment reports, biological safety evaluations, and contribute to FDA and international regulatory submissions Own toxicological risk assessment (TRA), including developing and documenting standard operating procedures (SOPs) that outline the TRA process and utilizing risk assessment tools such as the QSAR toolbox, read-across methodologies, and other risk assessment resources Conduct hazard identification, literature reviews, and dose-response assessments to support TRA Interpret chemical characterization data in accordance with ISO 10993 standards and integrate findings into comprehensive biocompatibility assessments for medical devices Required Qualifications: B.S. in molecular biology, toxicology, pharmacology, biochemistry, or a related field Strong background in cell biology, molecular biology, and/or toxicology >1 year of experience with in-vitro method development (including academic or research experience) Proficiency with confocal microscopy Excellent analytical, problem-solving, and communication skills, with the ability to collaborate across interdisciplinary teams Ability to conduct thorough literature searches Preferred Qualifications: M.S. or PhD in toxicology, pharmacology, biochemistry, or a related field Strong knowledge of ISO 10993 standards and experience with chemical characterization and biocompatibility evaluations Familiarity with in-vivo models >3 years of experience in toxicological risk assessment, preferably in the medical device industry or pharmaceutical industry Certification as a Diplomate of the American Board of Toxicology (DABT) or similar professional credential Familiarity with FDA and international regulatory submissions Expected Compensation: The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees. Base Salary Range:$71,000-$119,000 USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

Diasorin is a global leader in diagnostic solutions, pushing the boundaries of science and technology to create cutting-edge tools that improve healthcare worldwide. With a legacy spanning over 50 years, we've earned our reputation for excellence by developing innovative diagnostic assays and instruments that are trusted by healthcare providers around the world. Our broad offering of diagnostic tests and Licensed Technology solutions, made available thanks to ongoing investments in research, positions us as the player with the widest range of specialty solutions in the sector and identifies us as the "Diagnostics Specialist." Why Join Diasorin? * Impactful Work: When you join Diasorin, you become part of a team that's dedicated to improving lives. Your contributions will directly impact patient care, making a meaningful difference in the world. * Global Reach & Innovation: Our work transcends borders. Joining Diasorin means collaborating with colleagues from all over the world, expanding your horizons, and contributing to global healthcare solutions at the forefront of the diagnostic industry. Diverse and Inclusive Culture: We believe in the strength of diversity, and our inclusive culture reflects this commitment. We value your unique perspective and offer a supportive, collaborative environment where everyone can thrive. Join Our Team: If you're passionate about innovation, diversity, and making a positive impact on healthcare, Diasorin is the place for you. We're looking for passionate and talented individuals who are ready to embrace new challenges and drive healthcare solutions forward. Are you ready to be part of a dynamic team that's shaping the future of diagnostics? Join Diasorin and become a catalyst for change in the world of healthcare. Apply today and be a part of our exciting journey toward a healthier, more connected world. Together, we can make an impact! Job Scope DiaSorin is seeking a talented Scientist with expertise in polymer and materials chemistry to join our dynamic Innovation team. This role focuses on the design, synthesis, and characterization of polymeric materials, including polystyrene microspheres, polymeric coatings, and nanoparticle-based composites, using techniques such as emulsion polymerization, wet chemical synthesis, and thin-film deposition. The successful candidate will independently lead experiments, collaborate with senior scientists and directors, and contribute to innovative instrumentation projects that advance our cutting-edge technologies. The ideal candidate is a critical thinker, thrives in a collaborative environment, and upholds the highest standards of laboratory safety and quality. Key Duties and Responsibilities * Synthesize and characterize polymeric microspheres and nanoparticles for diagnostic assays, using techniques like emulsion polymerization, surface modification, and surface conjugation. * Perform thin-film deposition using techniques like sputtering, evaporation, or chemical vapor deposition to create uniform, high-quality coatings. * Collaborate with external partners to evaluate reagents, including surface modifications, and provide technical support to customers for assay-related processes * Develop manufacturing instructions and quality control methods for new products during product transfer phases. * Test and validate new Luminex instrumentation and software for particle-based assay platforms, ensuring performance and reliability. * Work with senior scientists and cross-functional teams to advance assay and platform development, seeking guidance as needed. * Present technical information in formal settings. * Stay updated on advancements in polymer chemistry, particle science, and assay technologies, contributing to scientific reports and potential publications. * Adhere to laboratory safety regulations and standard operating procedures (SOPs), maintaining * Source and select raw materials and supplies. * Troubleshoot assay performance issues and customer complaints. * Generate ideas leading to new or improved products and internal processes. * Serve as a source of knowledge inside and outside of your team in an area of expertise. Education, Experience and Qualifications * Bachelor's Degree in Biology, Chemistry, Biochemistry, Chemical Engineering or related discipline. required or * Master's Degree in Biology, Chemistry, Biochemistry, Chemical Engineering or related discipline. preferred * Ph.D. in Biology, Chemistry, Biochemistry, Chemical Engineering or related discipline. preferred * 5+ Years experience working in an academic, government or industrial life sciences laboratory setting OR advanced degree required * Experience working in the medical device/diagnostics industry required Training and Skills * MS Word, Excel and PowerPoint skills (High proficiency) * Strong communication skills, both oral and written, with the ability to present technical results clearly to diverse audiences. (High proficiency) * Strong critical thinker who excels at analyzing information, solving complex problems, and driving innovation in a collaborative environment. (High proficiency) * Familiarity with particle synthesis and characterization (e.g., microspheres, nanoparticles) using techniques like emulsion polymerization, DLS, SEM, or spectroscopy. (Medium proficiency) * Hands-on experience with laboratory instrumentation and troubleshooting (Medium proficiency) Standard Physical Demands * Fine motor skills required to manipulate scientific samples and equipment. Frequently Standard Working Conditions * Work with toxic or hazardous chemicals for up to several hours per day - Frequently * Work with human sourced or biohazardous materials for the majority of the workday - Frequently * PPE clothing will need to be worn when entering the lab (chemical resistant clothing/gloves, safety glasses, lab coat, and surgical gloves). - Frequently * Work beyond 40 hours/week - Frequently Travel Requirements * 10% What we offer Receive a competitive salary and benefits package as you grow your career at DiaSorin. Join our team and discover how your work can impact the lives of people all over the world. Diasorin is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and Canada and to complete the required employment eligibility verification document form upon hire. Diasorin is committed to providing reasonable accommodations for qualified individuals with disabilities. If you are a US or Canada candidate and require assistance or accommodation during the application process, please contact the North America Talent Acquisition Team at ********************* or ************** to request an accommodation. The above job description is intended to describe the general content, identify the essential functions, and set forth the requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Diasorin reserves the right to modify or amend this job posting as needed to comply with local laws and regulations. Please note that offers of employment at Diasorin may be contingent upon successful completion of a pre-employment background check and drug screen, subject to applicable laws and regulations. This position is not eligible for partnership with a third-party search firm vendor without expressed, written consent from the Diasorin Human Resources Department. Nearest Major Market: Austin

About Us: web AI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. About the Role: The AI Research Scientist will contribute to web AI's development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact. This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. Responsibilities: Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures Conduct research on model efficiency, quantization, compression, and on-device deployment Prototype novel model architectures, training methods, and inference strategies for distributed AI Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance Collaborate with engineering teams to integrate research findings into production systems Stay current on leading research in deep learning, generative AI, and distributed ML Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders Document research findings, contribute to internal papers, and present technical work across the organization Identify emerging technologies and propose research directions aligned with web AI's strategic priorities Qualifications: 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models Hands-on experience training and fine-tuning large-scale models Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX Experience building datasets, designing experiments, and validating ML model performance Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training Strong problem-solving skills and ability to work independently on complex research tasks Effective communication skills for presenting research findings to diverse audiences Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Preferred Skills Master's or PhD in Machine Learning, Computer Science, AI, or a related field Experience with distributed training, edge inference, or on-device ML Research experience in generative AI, reinforcement learning, or multimodal learning Familiarity with privacy-preserving ML techniques such as federated learning Experience contributing to academic publications, patents, or open-source ML projects Comfort operating in a fast-paced, high-growth startup environment We at web AI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: Competitive salary and performance-based incentives. Comprehensive health, dental, and vision benefits package. 401k Match (US-based only) $200/mos Health and Wellness Stipend $400/year Continuing Education Credit $500/year Function Health subscription (US-based only) Free parking, for in-office employees Unlimited Approved PTO Parental Leave for Eligible Employees Supplemental Life Insurance web AI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of web AI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

About Us: web AI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. About the Role: The AI Research Scientist will contribute to web AI's development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact. This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. Responsibilities: * Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures * Conduct research on model efficiency, quantization, compression, and on-device deployment * Prototype novel model architectures, training methods, and inference strategies for distributed AI * Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance * Collaborate with engineering teams to integrate research findings into production systems * Stay current on leading research in deep learning, generative AI, and distributed ML * Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders * Document research findings, contribute to internal papers, and present technical work across the organization * Identify emerging technologies and propose research directions aligned with web AI's strategic priorities Qualifications: * 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields * Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models * Hands-on experience training and fine-tuning large-scale models * Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX * Experience building datasets, designing experiments, and validating ML model performance * Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training * Strong problem-solving skills and ability to work independently on complex research tasks * Effective communication skills for presenting research findings to diverse audiences * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Preferred Skills * Master's or PhD in Machine Learning, Computer Science, AI, or a related field * Experience with distributed training, edge inference, or on-device ML * Research experience in generative AI, reinforcement learning, or multimodal learning * Familiarity with privacy-preserving ML techniques such as federated learning * Experience contributing to academic publications, patents, or open-source ML projects * Comfort operating in a fast-paced, high-growth startup environment We at web AI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: * Truth - Emphasizing transparency and honesty in every interaction and decision. * Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients. * Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. * Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: * Competitive salary and performance-based incentives. * Comprehensive health, dental, and vision benefits package. * 401k Match (US-based only) * $200/mos Health and Wellness Stipend * $400/year Continuing Education Credit * $500/year Function Health subscription (US-based only) * Free parking, for in-office employees * Unlimited Approved PTO * Parental Leave for Eligible Employees * Supplemental Life Insurance web AI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of web AI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Atlas is a nationwide leader in civil engineering, materials testing and geotechnical consulting services for environmental, industrial and infrastructure construction projects. Headquartered in Denver, CO, Atlas currently has over 3,500 employees with offices throughout the US, including Alaska & Hawaii. It s no accident that Atlas creates a better experience for infrastructure and environmental projects. It s how we are built with the best people in the industry, with the reach and expertise to help at any and every step of the project, and with a heart-led approach that puts quality and safety at the center of everything we do. We re just built to be better. We are a great company. We are seeking a EIR Scientist 1 to join our Austin, TX team! Come join us! Job responsibilities include but are not limited to: The successful candidate will work with experienced professional consultants in performing soil and groundwater investigation and remediation projects related to petroleum and hazardous waste sites; The candidate will serve as an Environmental Scientist supporting current and upcoming projects within Texas and be responsible for conducting site investigation field activities, including but not limited to environmental site assessments, hazardous waste site investigations, and field sampling (soil, groundwater, air, surface water and stormwater); logging of soil borings, oversight of groundwater monitoring well installation and contaminated soil excavations; conducting data analyses and interpretation of field and analytical data; preparation of technical reports including but not limited to environmental reports, permit applications, work plans, and health and safety plans; Preference given to candidates with groundwater/soil sampling experience, familiar with the Texas Commission of Environmental Quality Petroleum Storage Tank (PST) program and Texas Risk Reduction Program (TRRP), and candidates that have specific experience in a similar role within an environmental and engineering consulting firm; The ideal candidate will have good technical and organizational skills and be able to work independently on assigned project tasks with limited supervision; The vast majority of the work (75-95%) will be conducted in the field. The successful candidate must be able to travel overnight as needed within Texas; The ideal candidate will have completed the 40-Hour HAZWOPER training and have at least one year (1) year of relevant experience; Preference will be given to candidates with applicable experience and licensed Geologist in Training (GIT) or Professional Geologist (PG), or ability to obtain such license ability to receive such license; Candidates must be willing to work both as part of a team and independently in the office as well as in the field on small and large projects' Motivated candidates willing to learn and grow within an organization that has potential for advancement should apply. Minimum requirements: Bachelor s degree in Geology, Environmental Sciences, Biology, or other applied science; Minimum 1 year of work experience in the field, primarily related to environmental services; Candidates with experience in a similar role with an environmental or engineering company in Texas are also preferred; Proficiency with in Microsoft Office (Word, Outlook, Teams, Excel, and PowerPoint); Strong written and oral communication skills; Excellent time management skills, attention to detail, and ability to manage multiple assignments on an on-going basis; Capable of working independently, under direct supervision of others, and in a team-oriented environment; Willingness to travel to field work locations within Texas for extended periods of time. Some assignments may require up to a week out of town (Per diem provided.) Hours may vary, typically up to 8 hours, field work may require 8-12 hour shifts depending on assignment; Ability to work outdoors in the field for project assignments in accordance with Atlas and Client safety protocols; A valid driver s license and must be able to pass a Motor Vehicle Record and Drug Screening. Technical requirements: Basic understanding of routine tasks associated with environmental inspections and assessments, subsurface investigations, or environmental remediation projects (soil, groundwater, vapor sampling, subsurface drilling), logging of soil borings, oversight of groundwater monitoring well installation and contaminated soil excavations; Qualified to independently conduct field soil and groundwater sampling (including various methodologies, containers, field equipment, laboratory requirements) and prepare daily field reports, document field activities and system performance specifications; Prepare Excel tables and field summaries for a variety of regulatory-driven soil, groundwater, and remediation system reports; Understand operation of environmental field equipment (PID, water quality meter, interface probe, survey equipment). Working knowledge of Texas Commission of Environmental Quality (TCEQ) Petroleum Storage Tank (PST) program and Texas Risk Reduction Program (TRRP) Other miscellaneous qualities: OSHA 40-hour HAZWOPER Certification and current HAZWOPER refresher preferred; Follow safe work practices and adhere to company guidelines for planning and executing work in a safe manner; Willingness to cross-train in other areas, if needed (wetlands, industrial hygiene, environmental compliance); Geologist in Training (GIT) or Professional Geologist (PG) License, or ability to obtain such license is preferred. Benefits: Atlas offers a comprehensive benefit program to meet the diverse needs of our employees. Depending on your employment status, Atlas benefits include health, dental, vision, life, AD&D, voluntary life / AD&D, disability benefits, leaves of absence, 401k, paid time off, paid holidays, employee assistance program, educational assistance program. Who We Are: We strive to be the most sought-after infrastructure and environmental solutions company, known for our unique, values-driven approach and brought to life by the industry s most exceptional people. Atlas provides professional testing, inspection, engineering, environmental and consulting services from more than 100 locations nationwide. We deliver solutions to both public and private sector clients in the transportation, commercial, water, government, education and industrial markets. With a legacy of providing consistent quality and results, Atlas creates a better experience at every stage of an infrastructure project. We connect the best experts in the industry to deliver value from concept to completion and beyond. This means doing everything our clients expect and then raising the expectations in a way that only our people can. Our Values: Life: We enhance quality of life. We value people and safety above all else. Heart: As our hallmarks, we act with compassion, empathy and respect. Trust: We work together as partners, doing what we say with full accountability. Mastery: Always striving for the highest quality, we ensure greatness inspires all our work. Atlas EEOC Statement Atlas is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Atlas makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, read through our EEO Policy ******************************************************************************************** #IND03

Job Details Burnet - Burnet, TXDescription Oversees entire restaurant operations, including financial performance, product production, inventory, personnel, sales, and marketing for the restaurant. Ensures restaurant is operated within operational guidelines established by owner and franchisor. Essential job functions include, but are not limited to: Oversees and manages all areas of restaurant and makes final decisions on matters of importance. Ensures that all PRIDE systems and routines are incorporated into the day-to-day operations of the restaurant. Responsible for the development and achievement of the restaurant's game plan by working with their DM and or GM. Ensures guest service in all areas meets company standards. Responds to customer complaints, taking prompt and appropriate action to resolve problems and to ensure customer satisfaction is maintained. Works with local chamber and schools to increase restaurant sales. Staffs, trains and develops assistant managers and hourly employees through orientations, ongoing feedback, the establishment of performance expectations and by conducting performance reviews. Responsible for effective management schedules and ensures that restaurant is properly staffed for all day parts and sales volumes. Manages restaurant P & L to optimize manageable profit, controls COGS, Labor, and Controllables (semi-fixed expenses). Performs other duties and responsibilities as requested by DM. Additional Responsibilities: Manages the entire operation of the restaurant through the development and growth of staff, sales and profitability to meet goals established in location's game plan. Ensures the restaurant is in accordance with established company standards, policies and procedures. Assists in the success of the restaurant by ensuring guest satisfaction through adhering to company standards for quality, value, service and cleanliness. Maintains a positive working relationship with all restaurant team members to foster and promote a cooperative and pleasant working climate which will be conducive to maximize employee morale, productivity and efficiency. Additional Info Three to five years of restaurant management experience preferred, QSR experience strongly preferred. High School diploma or equivalent required. Proven track record in management of COGS and labor. Must have excellent customer service and employee relations skills. Must be detail oriented with the capability to oversee all aspects of the business and multiple areas simultaneously in a fast-paced environment. Must be able to perform under pressure in a high volume restaurant, including moving and responding quickly for long periods of time. Must be able to work in and out of different temperature ranges. Must be able to stand for long periods of time. Must be able to lift up to 50 pounds. Must have excellent customer service skills and exhibit good manners, proper personal hygiene, positive attitude and promptness. Exhibit and use good manners, proper personal hygiene, positive attitude, and promptness.

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.

* United States - Texas - Austin * Technology * Full-Time Regular * 12/01/2025 * ID # R-97820 * * * * Already Applied? View Your Account Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Who We Are: Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif, and others), our mission is to power global travel for everyone, everywhere-because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 80+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world's largest travel platforms. With unrivaled knowledge of the industry and advanced technology, we've built a marketplace that filters through millions of possibilities for travelers and partners worldwide. About the Team: The Marketplace Machine Learning Science team is launching a high-impact initiative focused on Customer Lifetime Value (CLV)-a key business metric that will shape long-term company performance and executive decision-making. As a Machine Learning Scientist III, you will lead efforts to build causal models and experimentation frameworks that optimize how we serve millions of travelers globally. This is a high-visibility role with direct exposure to executive leadership and cross-functional teams across product, engineering, marketing, customer service, pricing, and more. You'll be joining a zero-to-one initiative with strong leadership support and urgency to deliver impact starting immediately. Strategic Impact & Visibility: This role offers a rare opportunity to shape how Expedia Group measures and optimizes long-term customer value. You'll be part of a newly formed team with zero existing members on CLV, giving you the chance to influence foundational modeling decisions and build scalable solutions from the ground up. In this role, you will: * Lead the research and implementation of scalable machine learning and data science solutions end-to-end with engineering rigor * Apply causal inference techniques to understand drivers of customer lifetime value and measure the impact of business interventions (e.g., marketing, service, product features) * Design and execute robust experiments (e.g., A/B tests, quasi-experimental methods) to evaluate business strategies and validate model performance * Translate complex findings into actionable insights for both technical and non-technical stakeholders * Break down ambiguous business problems into structured, data-driven solutions * Stay informed on relevant ML and AI research, with support from Expedia's learning and development resources * Collaborate with other machine learning and data science teams to foster a strong data science culture across Expedia Group Minimum Qualifications: * Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field * Typically requires 4+ years of professional experience, though candidates with equivalent project or research experience are encouraged to apply * Strong hands-on experience in causal modeling and experimental design * Proven ability to analyze large, complex datasets and generate actionable insights * Pragmatic problem solver focused on scalable and effective methods * Ability to share ideas effectively with diverse technical and business audiences Preferred Qualifications: * Proficiency in Python; familiarity with Spark is a plus but not required - eagerness to learn is valued * Experience with end-to-end ML solution development * Experience or interest in applying AI techniques, including large language models (LLMs), is a plus Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. Your Impact * Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. * Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. * Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. * Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. * Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. Minimum Qualifications: * PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. * Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. * Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. * Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. * Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. * Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. * Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. * Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

We're not just a workplace - we're a Great Place to Work certified employer! Proudly certified as a Great Place to Work, we are dedicated to creating a supportive and inclusive environment. At Sonic Healthcare USA, we emphasize teamwork and innovation. Check out our job openings and advance your career with a company that values its team members! POSITION SUMMARY: The Analytical Chemistry Scientist I is responsible for performing routine sample analysis and LCMS analytical techniques accurately and efficiently following SRL procedures. SHIFT: Work schedule will be 4 day/10 hour which will include one weekend day. Based on laboratory needs late 2nd shift may be needed. JOB FUNCTIONS/DUTIES AND RESPONSIBILITIES: Prepares solutions such as mobile phases and buffers Performs validation experiments. Works independently, plans and conducts laboratory work Performs routine tasks with high efficiency Trains and guides new testing personnel Cleans laboratory glassware and helps maintain lab orderliness Documents promptly and clearly all procedural processes Performs automated and routine extractions Monitors LC-MS/MS system performance to ensure quality of results Independently troubleshoots assays and instrumentation Processes data following SRL procedures and guidelines Makes and records observations and performs mathematical calculations Maintains and calibrates instrumentation and equipment as required KNOWLEDGE, SKILLS AND ABILITIES: Ability to understand written and verbal instructions. Must be able to work well with variety of laboratory personnel. Excellent attention to detail. Basic computer knowledge. Must be able to work with frequent interruptions and fluctuations in workload. Ability to set and meet deadlines with high quality work. Ability to understand graphs, tables, charts and perform calculations needed for the task. Ability to follow and implement policies and Standard Operating Procedures. QUALIFICATIONS (REQUIRED/PREFERRED): EDUCATION: Bachelors degree in a scientific field EXPERIENCE: 1+ years laboratory related experience 1+ years LCMS experience 1+ years extraction experience LICENSE/CERTIFICATION (REQUIRED/PREFERRED): None required. Scheduled Weekly Hours: 40 Work Shift: 1st Shift (United States of America) Job Category: Laboratory Operations Company: Sonic Reference Laboratory, Inc Sonic Healthcare USA is an equal opportunity employer that celebrates diversity and is committed to an inclusive workplace for all employees. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, age, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Job Details Johnson City - Johnson City, TXDescription Oversees entire restaurant operations, including financial performance, product production, inventory, personnel, sales, and marketing for the restaurant. Ensures restaurant is operated within operational guidelines established by owner and franchisor. Essential job functions include, but are not limited to: Oversees and manages all areas of restaurant and makes final decisions on matters of importance. Ensures that all PRIDE systems and routines are incorporated into the day-to-day operations of the restaurant. Responsible for the development and achievement of the restaurant's game plan by working with their DM and or GM. Ensures guest service in all areas meets company standards. Responds to customer complaints, taking prompt and appropriate action to resolve problems and to ensure customer satisfaction is maintained. Works with local chamber and schools to increase restaurant sales. Staffs, trains and develops assistant managers and hourly employees through orientations, ongoing feedback, the establishment of performance expectations and by conducting performance reviews. Responsible for effective management schedules and ensures that restaurant is properly staffed for all day parts and sales volumes. Manages restaurant P & L to optimize manageable profit, controls COGS, Labor, and Controllables (semi-fixed expenses). Performs other duties and responsibilities as requested by DM. Additional Responsibilities: Manages the entire operation of the restaurant through the development and growth of staff, sales and profitability to meet goals established in location's game plan. Ensures the restaurant is in accordance with established company standards, policies and procedures. Assists in the success of the restaurant by ensuring guest satisfaction through adhering to company standards for quality, value, service and cleanliness. Maintains a positive working relationship with all restaurant team members to foster and promote a cooperative and pleasant working climate which will be conducive to maximize employee morale, productivity and efficiency. Additional Info Three to five years of restaurant management experience preferred, QSR experience strongly preferred. High School diploma or equivalent required. Proven track record in management of COGS and labor. Must have excellent customer service and employee relations skills. Must be detail oriented with the capability to oversee all aspects of the business and multiple areas simultaneously in a fast-paced environment. Must be able to perform under pressure in a high volume restaurant, including moving and responding quickly for long periods of time. Must be able to work in and out of different temperature ranges. Must be able to stand for long periods of time. Must be able to lift up to 50 pounds. Must have excellent customer service skills and exhibit good manners, proper personal hygiene, positive attitude and promptness. Exhibit and use good manners, proper personal hygiene, positive attitude, and promptness.

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.