Associate Scientist jobs at Collabera - 3422 jobs

About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting‑edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product‑market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Scientist with deep expertise in Vision Language Modeling (VLMs) to join our ML team. You'll be at the forefront of developing and deploying state‑of‑the‑art multimodal models for clinical use in radiology settings. This role focuses on training and fine‑tuning vision‑language models (VLMs) that can generate accurate & grounded radiology reports across multiple imaging modalities including X‑rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, advancing the state‑of‑the‑art in grounded medical report generation, model alignment, and inference‑time reasoning while maintaining the clinical rigor required for healthcare deployment. Key Responsibilities Design, train, and scale vision‑language foundation models for radiology applications. Develop and implement advanced post‑training strategies including preference optimization (DPO, IPO, KTO), reinforcement learning from human feedback (RLHF), and other alignment techniques to improve clinical accuracy and reduce hallucinations. Research and deploy inference‑time compute scaling techniques such as chain‑of‑thought reasoning, self‑refinement, and test‑time training to enhance model performance on complex diagnostic cases. Pioneer grounded report generation capabilities, enabling models to spatially localize findings within medical images using bounding boxes or segmentation masks. Design rigorous evaluation frameworks that assess text for medical accuracy and writing style. Contribute hands‑on to all stages of model development including dataset curation, architecture design, distributed training, post‑training optimization, and production deployment. Stay current with cutting‑edge research in vision‑language modeling, medical AI, and model alignment techniques. Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical VLMs at scale. Qualifications 6+ years of academia/industry experience in vision‑language modeling, multimodal learning, or related fields Deep expertise in training and fine‑tuning large vision‑language models (e.g., LLaVA, Flamingo, CogVLM, Qwen‑VL, or similar architectures) Strong foundation in modern post‑training techniques including: Preference optimization methods (DPO, IPO, ORPO, KTO) RLHF and reward modeling Inference‑time compute scaling and reasoning strategies Constitutional AI and other alignment techniques Track record of implementing complex models from research papers and adapting them to new domains Proficiency in PyTorch or JAX, with experience training large models on multi‑GPU/distributed systems Experience with autoregressive language modeling and instruction tuning Hands‑on experience with medical imaging applications, particularly radiology report generation Strong software engineering skills and ability to write production‑quality code Preferred Qualifications Publications at top‑tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, MICCAI) Experience with grounded generation tasks (visual grounding, referring expression comprehension) Knowledge of evaluation methodologies for long‑form generation, including factuality assessment and hallucination detection Experience with 3D medical image processing and temporal modeling Familiarity with clinical NLP and medical knowledge representation Experience with model interpretability, explainability, and uncertainty quantification in safety‑critical applications #J-18808-Ljbffr

The Molecular Foundry at Lawrence Berkeley National Lab's (LBNL) is seeking to hire a Staff Scientist in the Nanofabrication Facility. This individual is expected to develop and lead a research program in quantum phenomena focused on fundamental understanding and materials targeting breakthroughs in coherence and scalability for quantum computing and quantum sensing. Candidates at every level of experience, ranging from early-career (career track) to experienced staff scientist, are encouraged to apply. This is an opportunity to join a vibrant research community dedicated to excellent science and international collaboration. The Molecular Foundry at Lawrence Berkeley National Lab's (LBNL) is a national user center for nanoscale science - one of five Department of Energy Nanoscale Science Research Centers. A multidisciplinary research center at the forefront of nanoscale science, the Molecular Foundry is a knowledge-based user facility that provides state-of-the-art expertise and instrumentation to a diverse, international community, drawing users from academia, national labs and industry. Here, you will be able to establish a leading research program taking advantage of our collaborative, interdisciplinary center. The Staff Scientist position at the Molecular Foundry is a full-time principal investigator position with a working model based on equal division (50%/50%) of effort between user support and independent, world-class research. Beyond your own scientific research, you will support the research of a diverse and collaborative user community, who access the Molecular Foundry via a peer‑reviewed proposal process. Your unique research portfolio will attract and expand the Molecular Foundry user community and complement the environment of ongoing multidisciplinary research across LBNL. This position is open to both career-track and career applications and the level at which the candidate will be hired is based on the experience and accomplishments. What You Will Do: Design and lead a robust individual research program related to the Molecular Foundry's research theme around materials for quantum science. This individual is expected to develop and lead a program on fundamental understanding of quantum phenomena in materials targeting breakthroughs in coherence and scalability in quantum computing and sensing. Develop a thriving multidisciplinary user program, drawing from industry, academia, and national labs, through the development of unique expertise and capabilities. Provide users with support through your own efforts, hands‑on and with your expert knowledge, in the area of nanofabrication. Manage research efforts surrounding the characterization and measurement of superconducting devices using our low‑temperature and high magnetic field physical property measurement system, as well as our ultra‑low temperature dilution refrigerator measurement tools. Use our newly commissioned quantum information science cluster deposition system and low temperature materials characterization capabilities to develop world class novel superconductor fabrication processes for next‑generation superconducting quantum devices. Integrate results from our materials deposition systems into unified data architectures enabling automatic characterization of superconducting thin films during growth. Combine the in‑process data, room temperature materials characterization, and low temperature material and device performance into fundamental datasets to enable machine learning models capable of predicting the key materials properties and process parameters for highly performant superconducting materials and device designs. Collaborate with other Foundry scientific staff members to provide scientific support for users and create and participate in collaborative research efforts beyond the single laboratory effort. Prepare scientific data for publication in refereed journals; and present findings at seminars and conferences. Supervise, mentor, and coach scientific and technical staff as appropriate. Provide technical direction to graduate students, postdocs, and research associates as appropriate, and assist in the management of research projects. Maintain a safe working environment and demonstrate respect for environmental protection, health and safety, and help instill those aspects in all staff and users of the Nanofabrication Facility. Maintain and develop a multidisciplinary and inclusive working environment using and building upon existing programs within the Molecular Foundry and Berkeley Lab. Share in user‑related operations, maintenance/administration, and development responsibilities within the Nanofabrication Facility. In addition to the responsibilities above, a Career Staff Scientist will: Perform all of the duties above with a high level of independence and autonomy and have demonstrated abilities for the above tasks. Have an extensive and proven track record of publications and collaborations within the scope of the primary research responsibilities for the position. What is Required: Ph.D. or equivalent degree in physics, chemistry, materials science and engineering, or another discipline relevant to nanofabrication, nanotechnology and nanoscience. Willingness to provide users with support through your own efforts, hands‑on and with your expert knowledge, in the area of nanofabrication. Excellent oral and written communications skills, open‑mindedness, and the desire and ability to collaborate with multiple research groups across disciplines. Productivity in areas related to nanoscale materials research, demonstrated by (for example) publications, talks at national and international meetings, and patents. Demonstrated ability to carry out independent research in a diverse, collaborative environment. Theoretical and practical expertise in nanofabrication instrumentation including reactive ion etching, atomic layer deposition, electron beam evaporation, sputtering, electron beam lithography and integrated ultra high vacuum systems. Knowledge and experience of safety practices and safety culture in a lab setting. In addition to the requirements above, a Career Staff Scientist: At least 5 years of professional research experience and an established track record working in nanoscience at academic, industrial or other research institutions. Be recognized as an active, high‑impact contributor in their specialized scientific field. Desired Qualifications: Experience running or directing ultra‑low temperature characterization experiments including but not limited to electrical transport measurements, high magnetic field characterization, and low background (ionizing radiation, EMI, IR/RF background, vibration…) device and material properties characterization. Demonstrated ability in performing and leading research, and an established track record working in nanoscience at academic, industrial or other research institutions. Excellent analytical and interpersonal skills; ability to work collaboratively with others towards broader shared goals, using clear judgment. Proven ability to communicate effectively and articulate a compelling scientific vision across all stakeholder groups. Required Application Materials: Statement of research experience and interests. (3 page limit) Application date: Priority consideration will be given to candidates who apply by December 15, 2025. Applications will be accepted until the job posting is removed. Appointment type: This is a full‑time 2‑year, career‑track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. A Career position will be considered for those who have relevant experience or for existing Career‑Track or Term staff who have already exhausted the number of years eligible to hold a Career‑Track role. Salary range: The expected salary for this position is $129,924 - $207,900, which fits into the full salary of $129,924 - $311,820 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience. Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA (4+ days of work onsite per week, with occasional work from home opportunities and travel‑related work opportunities). A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti‑discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. #J-18808-Ljbffr

A healthcare technology company in San Francisco is seeking an experienced Research Scientist specializing in Vision Language Modeling. The role involves designing and scaling advanced models for medical imaging and requires deep expertise in multimodal learning, especially in radiology. Ideal candidates will have a strong background in implementing complex models and possess hands-on experience in medical imaging applications. #J-18808-Ljbffr

A leading medical technology company in San Francisco is seeking a Research Scientist with expertise in Perception. The role involves designing and scaling vision foundation models for radiology applications. Candidates should have robust experience in computer vision including training vision encoder models and applying machine learning techniques. This position significantly impacts AI-assisted diagnosis while maintaining clinical rigor. #J-18808-Ljbffr

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre‑training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high‑quality AI models should be available to all. Job Description As a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful when they train large models, and we encode our scientific expertise into our products to make that possible. You might be a good fit if you… Are comfortable working with large‑scale LLMs in the 10s to 100s of billions of parameters. Have solid ML and RL software engineering and scientific research skills. Have produced novel research related to fine‑tuning LLMs or improving upon pre‑trained LLMs. Have specialized expertise in topics like fine‑tuning, RLHF, LLM tool‑use, etc. Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology. Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public. Have strong communication skills and a desire to work on a small, fast‑paced team. Your Responsibilities Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users. Developing and implementing methods that extend and improve model capabilities, reliability, and safety. Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $150,000 - $190,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

A leading data and AI company in San Francisco is seeking a Research Scientist for the GenAI Team. The role involves advancing deep learning technologies and developing innovative AI solutions. Ideal candidates will have experience with large-scale LLMs and a passion for democratizing AI technology. Competitive salary range is $150,000 to $190,000 with benefits that foster a diverse and inclusive culture. #J-18808-Ljbffr

A leading research institute in San Francisco is seeking a Staff Scientist in the Nanofabrication Facility to develop a research program on quantum phenomena for applications in quantum computing. The role includes user support and independent research, offering opportunities to collaborate internationally. Candidates with a Ph.D. and expertise in nanofabrication are encouraged to apply. The position entails managing research projects and mentoring staff. #J-18808-Ljbffr

Mountain View, CA, USA Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Apply Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree. Preferred qualifications: 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree. Experience working on a consumer facing product. Experience with experimental design, training, and in data analysis, survey design, statistical modeling. Ability to work and complete projects independently and work with cross-functional teams in a dynamic fast-paced environment. Ability to convey complex information clearly and concisely, learn new skills, and adapt to changing environments. Ability to apply quantitative/statistical model to real-world business problems. About the job QuAILE DS stands for Quality, Artificial InteLligence, and Experience Data Science. We are a team of data scientists who partner with Search Quality, Search AI Features such as AI Overviews (AIO) and AI Mode (AIM), and Search Experience. We are looking for an exceptional, pioneering Data Scientist to drive the next generation of methodologies, insights, and AI-powered innovation across our organization. This role operates horizontally across all product areas, partnering closely with the Director of Data Science, managers, and technical leads to identify emerging AI trends, incubate novel approaches, and build the connective tissue that ties complex data signals together. In this role, you will elevate the entire DS discipline through scalable frameworks, research prototypes, and meta-level insights. You will push the boundaries of methodological excellence, accelerate data science productivity, and help shape long-term strategic themes that inform our highest-impact decisions. If you are excited about innovating at the frontier of AI, unlocking cross-team breakthroughs, and reimagining what data science can achieve, this role is built for you. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Pioneer next-generation data science and AI methodologies-advancing experimentation, evaluation, insights, measurement, and automation. Identify emerging AI trends and translate them into scalable frameworks, research prototypes, and high-leverage opportunities for product teams. Drive cross-team research by connecting signals, synthesizing patterns, and shaping horizontal insight themes that guide strategic decisions. Lead high-impact horizontal workstreams in areas such as GenAI evaluation, frontier measurement, user intelligence, and growth and quality insights. Build reusable tools, prompts, evaluators, and agentic workflows that improve data science productivity and elevate analytical craft across the organization. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

Senior Research Data Scientist, Central Operations AnalyticsMid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience using ETL tools. Experience conducting root cause analysis. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience supporting manufacturing, supply chain, or quality analytics. About the job The Central Operations Analytics team's (COAT) mission is to improve quality and manufacturing through data-driven decision making. The team focuses on governing quality return rates forecast through in-house developed algorithms, owning the strategy and development of scalable data tools, prototyping GenAI and advanced dashboards, and leading analytics to solve critical business problems. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Responsibilities Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Develop specialized tools for root cause analysis, station diagnostics, and statistical process control (SPC) to enable continuous improvement. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, restructure, or validate data to ensure quality. Analyze telemetry data and customer sentiment to quantify its impact on quality and inform design improvements. #J-18808-Ljbffr

A leading customer service software company in San Francisco is seeking a Staff Machine Learning Scientist. The successful candidate will design AI solutions, own research projects, and collaborate with engineers and product managers. Ideal applicants will have a strong background in Machine Learning and NLP, along with proven problem-solving abilities. This role offers opportunities to shape the product roadmap while impacting real-world applications, all in a supportive and innovative environment. #J-18808-Ljbffr

A leading customer service software provider in San Francisco is hiring a Staff Machine Learning Scientist to lead AI product solutions. The role involves designing innovative AI systems and collaborating with a talented team on complex projects. Ideal candidates will have a deep understanding of machine learning, natural language processing, and effective communication skills. You will have the opportunity to work on cutting-edge technology at a dynamic company with a commitment to inclusivity and innovation. #J-18808-Ljbffr

Battery Scientist / Cell Design Engineer Required - Northern California Our client is an innovative battery cell manufacturer developing the next generation of lithium-ion technologies. They're expanding their engineering team and are looking for a Cell Design specialist to take a lead role in advancing new cell concepts and improving existing designs. In this position, you'll work at the heart of their R&D efforts, owning key elements of cell design and contributing to decisions that will shape future products. Key Responsibilities: Lead the design, development, and optimization of advanced Li-ion cell technologies. Work closely with teams across materials, chemistry, and manufacturing to progress new ideas into practical solutions. Plan and execute testing programs, analyse performance data, and address design challenges. Support and mentor engineers, helping to strengthen technical capability across the group. Establish and refine best practices for cell design and assembly processes. Drive continuous improvement initiatives within cell engineering. Qualifications: PhD in Materials Science, Chemical Engineering, Electrochemistry, or a related discipline; a Master's degree with strong relevant experience will also be considered. Practical experience designing and developing custom lithium-ion cells. Deep knowledge of battery materials, chemistry, and manufacturing methods. Ability to diagnose complex technical issues and propose workable solutions. Clear, confident communication skills and ease working with cross-functional teams. Interested Cell Design Engineers with a proven track record in the design and development of customized lithium-Ion battery cells should apply without delay Please note Role requires you to be onsite in Northern California Due to ITAR compliance, H1-B sponsorship / transfer is not possible

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $460K #J-18808-Ljbffr

An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Research Scientist in mathematical sciences to design and build AI models that tackle complex scientific problems. The ideal candidate will have strong communication skills and experience with frontier models. This position operates on a hybrid work model, valuing rigor and reproducibility in scientific research. Competitive compensation is offered. #J-18808-Ljbffr

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We Expect You To Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Be excited about OpenAI's approach to research. Nice To Have Interested in and thoughtful about the impacts of AI technology. Past experience in creating high-performance implementations of deep learning algorithms. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr

Initiates and completes routine in vitro studies in an independent, efficient, and timely manner, with minimal supervision. Interprets the outcome of those experiments and proposes appropriate follow-up; troubleshoots effectively. Assists in the design and execution of non-routine cell-based in vitro and biochemical assays; conducts exploratory experiments with minimal supervision. Performs literature searches and extracts relevant information from literature and published protocols. Independently operates and is responsible for lab equipment; troubleshoots effectively. Communicates their own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports; provides input for scientific reports. Reports and treats data with a high level of integrity and ethics. Maintains accurate and up-to-date electronic lab notebooks. Complies with applicable regulations, performing all work in a safe and compliant manner; maintains proper records in accordance with Standard Operating Procedures and policies. Skills: Experience in aseptic animal tissue culture techniques and basic molecular biology techniques including nucleic acid extraction, RT-PCR, Western Blot, ELISA, transfection is required. Experimental design, execution, and interpretation in these areas will be required. oven problem-solving ability and eagerness to learn. Ability to evaluate new technologies and assist in incorporating them into our research. Written and verbal communication skills: concise and accurate reporting of technical data and information Proficiency with computers and data analysis software such as Microsoft Excel and GraphPad Prism. Ability and willingness to work effectively in a highly collaborative environment. Education: Master's degree or bachelor's Degree with 3+ years' experience in related scientific discipline; pharmaceutical, biotechnology or CRO experience is highly desirable

A forward-thinking sleep technology company in San Francisco is seeking a research scientist to leverage AI and Machine Learning to transform health and fitness experiences through innovative technology. The ideal candidate has a PhD in a relevant field and practical experience in machine learning application, with a passion for health technologies. This role promises immediate responsibilities, collaboration with exceptional talent, and equitable compensation, while promoting a workplace that values innovation and excellence. #J-18808-Ljbffr

Join the Sleep Fitness Movement At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don't just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive - it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment. Join us and lead the movement that's transforming how the world sleeps and what we're all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world's top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant's mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn't a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week -not because we're told to, but because we're invested. We're here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you'll feel right at home. If you're looking for something easier -this isn't it. The Role Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people's sleep count for more, using innovative technology, minimalistic design, and proven clinical science to personalize and improve each night for everybody-changing the way people sleep forever and for better. Our temperature-regulated technology, the Pod, is an absolute game changer. It improves people's health and happiness by changing the way they sleep. The Pod was recognized two years in a row by TIME's “Best Inventions of the Year.” It is available for purchase in North America and internationally. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we've raised over $150 million (Series C) to date. We were recognized as one of Fast Company's Most Innovative Companies in Consumer Electronics in 2019, 2022, and 2023. That is why Eight Sleep is looking for research scientists with a passion for using AI & Machine Learning to transform sensor data into personalized intelligent health & fitness experiences. Today, we offer heart rate, heart rate variability, sleep, and other metrics. Tomorrow, your imagination will unlock new meaningful metrics that will induce behavior change for better sleep and better health. To do so, you will work closely with a cross‑functional R&D and production team to prototype and to ship solutions. We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users. How you'll contribute Example projects include: Autopilot Thermoregulation: Advance the Pod's adaptive thermoregulation system - the “autopilot” system that continuously learns and reacts to micro-events like restlessness or awakenings. Design policies that optimize comfort and sleep quality in real time through reinforcement learning and closed‑loop control. Health Foundation Modeling: Develop a multimodal health foundation model that integrates physiology and environmental context - learning from Pod signals, wearable sensors, and contextual data - powered by one billion+ hours of sleep data at Eight Sleep. Behavioral simulations: Build a high‑fidelity physiological simulator that models how daily behaviors ripple into tonight's sleep and tomorrow's readiness. This initiative aims to create a non‑invasive, always‑on model of healthy aging powered by Pod biosignals and continuous physiological data. What you'll need to succeed Expertise in at least one area of machine learning and artificial intelligence (e.g., self‑supervised learning, multi‑modal ML, model optimization, NLP, LLM) Strong interest in applying machine learning to health related problems and data Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models 3+ years of practical experience applying ML to solve real‑world problems or relevant quantitative and qualitative research and analytics experience PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field with a notable publication record; or BS/MS with publications at top venues (e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL, EMNLP, INTERSPEECH) Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast‑paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast‑paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full‑time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you - perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with other benefits At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. #J-18808-Ljbffr