Senior Scientist jobs at NVIDIA - 2997 jobs

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

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

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 Perception to join our ML team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on training and scaling vision encoders for radiology diagnosis across multiple 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, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment. Key Responsibilities Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised / contrastive learning frameworks. Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data. Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment. Stay current with cutting-edge research in computer vision and medical imaging AI. Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale. Qualifications 6+ years of academia/industry experience in computer vision/machine learning Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in contrastive learning, self-supervised learning, and foundation model pretraining. Track record of implementing complex models from research papers and adapting them to new domains Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI) Strong software engineering skills and ability to write production-quality code Preferred Qualifications Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI) Experience with 3D medical image processing and retrieval tasks Knowledge of vision-language models and multimodal learning Experience with model interpretability and explainability methods Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.) #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

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

A leading technology firm based in Seattle is seeking a Senior Research Scientist focused on computer vision and machine learning. In this role, you will lead research efforts to develop cutting-edge AI solutions, collaborate with cross-functional teams, and contribute to academic publications. The ideal candidate has a PhD and experience in the ML lifecycle. This position offers a competitive salary and a hybrid work environment. #J-18808-Ljbffr

Job Title:Associate Principal Data ScientistRequisition ID:R025545Job Description:Your Role Within Our KingdomWe are seeking an Associate Principal Data Scientist-a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling.Responsibilities: Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams. Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and gen AI) to drive system understanding and develop data-powered solutions across the organization. Own design and evaluation of experimentation for optimization systems. Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility. Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy. Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science. Skills to Create ThrillsMinimum Qualifications: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research). 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). Strong systems thinking-able to zoom out and define strategy while also diving deep into code and analysis. Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Businessteams. Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization. Bonus Points Experience working with advertising data products or monetization systems. Prior work with mobile gaming studios or player behavior modeling. Experience in developing or maintaining experimentation platforms. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow). We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply.We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable. #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

Applied Physical Sciences (APS) is looking for a highly motivated Physical Scientist to join the Concord, MA team in a part-time, on-call (PTOC) position. Successful candidates will have a PhD in theoretical physics, expertise in inverse theory or tomography, and will support the development of state-of-the-art technologies for tomographic imaging with irregular experiment apertures, with a special emphasis on exploitation of high energy X-rays. APS works on exciting, technically challenging, cutting-edge technologies that will expose candidates to a wide variety of multidisciplinary fields, providing a stimulating environment with considerable opportunity for collegial interaction. At APS you will work in a small company environment where technical excellence is rewarded and an entrepreneurial spirit is encouraged, and you will have the chance to work directly with colleagues and customers that value innovation and creativity. Responsibilities Theoretical modeling of x-ray interaction physics, development of X-ray inversion paradigms for highly challenging experiment scenarios, rigorous characterization of the fundamental information limits of X-ray imaging. Software implementation of processing and modeling techniques, numerical execution of synthetic inversion experiments, display and quantification of model uncertainty Required Attributes and Skills PhD in theoretical physics, and expertise in modeling and inversion of X-ray data Subject matter expertise in one or more of the following: advanced numerical optimization, statistical methods, experiment design optimization, GPU-based computing Extensive experience with computational methods and programming for modeling physical phenomena and processing of real data e.g., Matlab, Python, PyTorch, or Fortran Exceptional communication skills (written and oral) for technical documentation and reviews with customers Desired Attributes and Skills Professional experience of 10+ years in DoD or related industry, a strong publication history in refereed technical journals, and a track record of successful performance on research programs under DARPA, IARPA, NAVSEA or ONR sponsorship is preferred. Experience as principal investigator working on advanced R&D programs Demonstrated technical leadership in modeling and simulation Expertise in one or more of the following: mathematical physics, model-based iterative methods for x-ray tomography, Monte Carlo radiative transport methods for Bremsstrahlung modeling, advanced numerical optimization techniques involving both continuous and discrete variables, regularization methods, uncertainty quantification using the Fisher Information Matrix and the Cramer-Rao Bound, and multi-objective optimization. Experience presenting talks at technical conferences APS, a wholly owned subsidiary of the General Dynamics Corporation, offers a small company environment including competitive salary, excellent benefits, and comfortable working conditions. This is a part-time on-call position open in the Concord, MA office. Candidates must possess or be able to obtain a Top Secret DOD security clearance. Qualified applicants are invited to submit a resume and application online at **************** fax them to ************, Attn: Human Resources, or mail to the company address. Please reference the requisition number and title of the position in the subject line of your submission. Equal Opportunity Employer/M/F/Disability/Protected Vet Invitation to Self-Identify In keeping with our commitment to Equal Employment Opportunity (EEO), Applied Physical Sciences invites all applicants to self-identify pre-offer as a protected veteran and/or an individual with a disability. Invitation to Self-Identify as Protected Veteran Online Form Invitation to Voluntary Self-Identification of Disability Online Form #J-18808-Ljbffr

Immediate need for a talented Scientist 2, Research & Development. This is a 10 months contract opportunity with long-term potential and is located in Skillman, NJ (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-00524 Pay Range: $35 - $43/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Hours: 8:30am to 5:00pm (Monday through Friday). 86 Morris Avenue Summit, NJ 1 day per week. May fluctuate based on needs. A Product Development Scientist role involves a wide range of activities, including developing and optimizing new product formulations and processes, conducting laboratory testing and evaluations. Key responsibilities include batching several iterations, ensuring technical accuracy in product development through stability studies, and documentation. Working with the team, time management, attention to detail, strong analytical skills, strong communication, following the timeline. Key Requirements and Technology Experience: Key skills; Consumer Products - Skin Health BA Degree 2 to 4 years' experience Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

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

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

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

Immediate need for a talented Research Associate II .This is a 12+Months contract opportunity with long-term potential and is located in Cambridge, MA(Onsite). Please review the job description below and contact me ASAP if you are interested. Job Diva ID: 25-95403 Pay Range: $45-$50 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: - Maintenance and preparation of cell cultures, Immunofluorescence staining of samples Global Discovery Pathology is seeking a qualified individual to assist with the execution and analysis of microscopy-based cell, organoid, and tissue assays aimed at understanding therapeutic targeting and mechanism of action. The candidate will work with a cross functional team of imaging scientists, histologists, and pathologists to support a wide range of different therapeutic areas within the research organization. Daily responsibilities will include preparation of common stock solutions, maintenance and preparation of cell cultures, immunofluorescence staining of samples (cultured cells, tissue sections, and 3D samples comprising thick tissue samples or whole organoids), data acquisition using both automated and human-interactive microscopy systems, and organization and analysis of image data. Additional responsibilities involving operation of an automated liquid handling system for sample preparation may also be incorporated depending on the candidate's knowledge, experience, and ability. After initial training to familiarize them with lab-specific processes, the candidate will be expected to conduct their work independently following consultation with more senior lab members with whom they will be working. They will have the opportunity to present their work both within the department and at cross functional project meetings. Key Requirements and Technology Experience: Key Skills; Have 2+ years of laboratory experience Experience with fluorescence microscopy Strong proficiency in confocal microscopy The candidate must possess an M.S. degree in cell and molecular biology or a related field and have 2+ years of laboratory experience. Experience with cell culture, general molecular biology techniques, immunostaining, and basic fluorescence microscopy is required. Experience with complex in vitro models (organoids or lab-on-a-chip systems), advanced microscopy techniques such as confocal and super resolution, and comprehensive image analysis including AI-based approaches will be highly beneficial. The successful candidate will have excellent time management skills, record keeping and communication skills, and a willingness to learn new techniques. Our client is a leading Pharmaceutical and Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

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