Researcher jobs at Apple - 2017 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 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

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

A top-tier research institution in Berkeley seeks a highly motivated Postdoctoral Researcher in Scientific Machine Learning. Join the Workflow Readiness team to build AI-driven scientific workflows for the Doudna supercomputer. The candidate will have a PhD in a relevant field and programming experience in Python, C++, or similar. This full-time position includes collaboration with experts in AI and computational science, focusing on advanced workflow development. #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 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 technology company is seeking an Applied Scientist to join its Finance Transformation team. This role focuses on developing innovative statistical and machine-learning models for finance forecasting. Responsibilities include building production-ready models, leading MLOps initiatives, and mentoring team members. Candidates should have a PhD or Master's degree in a relevant field and experience in programming languages such as Java, C++, and Python. Competitive salary package and extensive benefits are offered, with base pay ranging from $136,000 to $223,400 based on location. #J-18808-Ljbffr

Research Associate Assignment Duration: 12 Months The contractor Research Associate will work closely with the Analytical Development team in the Tech Dev department to help methods development and test samples utilizing PCR, ELISA, Gel Electrophoresis, cell-based and other assays; as well as to contribute to design and performing experiments with supervision as needed; complete assigned tasks within time frames with high quality; maintain a well-documented record of activities in ELN and reports. Additionally, the role includes regularly summarizing and presenting experimental results in meetings and participating in report writing. Key Responsibilities: • Develop, optimize and execute analytical assays for proteins, DNA, adeno associated viral (AAV) nanoparticles and related cell-based assay. • Perform routine testing using established SOPs and applicable regulatory guidelines, including but not limited to dd PCR/qPCR, ELISA, and mammalian cell-based assays. • Support assay transfer to internal partners (QC, testing, and research teams), including documentation, troubleshooting, and method comparability. • Analyze experimental data, assess data quality, and determine applicability to project goals; draw conclusions and make data-driven recommendations. • Author, review, and revise experimental procedures, protocols, and technical reports. • Maintain accurate, timely, and compliant records of all analytical development activities in laboratory notebooks and data systems. • Contribute to a collaborative laboratory environment by sharing technical insights, supporting cross-functional projects, and continuously improving workflows. Qualification & Experience: • B.S. in Biology, Biochemistry, Molecular Biology, or a related discipline, with 1+ years of industry experience in pharmaceutical or biotechnology settings. • Demonstrated proficiency with mammalian cell-based assays and PCR-based assays (qPCR, dd PCR) • Hands-on experience performing quantitative assays (e.g. ELISA), for the characterization of proteins, nucleic acids, viruses or other biological products. • Strong hands-on experience with sterile technique and mammalian cell culture, including cell maintenance, expansion, characterization, and banking. • Working knowledge of core molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR). • Ability to independently plan, execute, and document experiments, while thriving in a collaborative, fast-paced team environment. • Strong analytical thinking with attention to detail and a commitment to generating high-quality, reproducible data. • Demonstrated ability to troubleshoot assays and propose experimental improvements. Comfort with interpreting unexpected results and recommending next steps. • Excellent written and verbal communication skills, with the ability to clearly present technical data to both technical and non-technical audiences. • Proficiency with Microsoft Office and standard data analysis and documentation tools. Preferred Skills: • Experience working with Adeno-Associated Virus (AAV) • Experience in analytical method development and assay transfer • Experience in basic statistical analysis

A globally leading consumer device company headquartered in Cupertino, CA is looking for an experienced User Study Researcher to join their team! Job Responsibilities: • Plan, execute and track large scale data collections and user studies for algorithm development • Track and report on progress, blockers and key deliverables to Data Operations Team • Collaborate with hardware, software, infrastructure and Operations teams on requirements for data collections • Create and maintain documentation for HW/SW platform setup and protocol for vendor training and deployment • Support Data Operations team with equipment set up and inventory tracking Qualifications: • Bachelor's degree in Industrial Engineering, Operations Management, or similar • 3+ years of industry experience in one or more of the following fields/roles: Operations (i.e. data, product, lab, R&D, etc.), Test/Quality/Support Engineering or Technical Program Management • Sound technical troubleshooting and triage methodology • Clear and concise written and verbal communication, and communicates with technical and non-technical individuals with ease Type: Contract Duration: 6 months with extension Work Location: Sunnyvale, CA or San Diego, CA (100% on site) Pay range: $ 47.00 - $ 62.00 (DOE)

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

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 globally leading consumer device company headquartered in Cupertino, CA is looking for an experienced User Study Researcher to join their team! Job Responsibilities: • Plan, execute and track large scale data collections and user studies for algorithm development • Track and report on progress, blockers and key deliverables to Data Operations Team • Collaborate with hardware, software, infrastructure and Operations teams on requirements for data collections • Create and maintain documentation for HW/SW platform setup and protocol for vendor training and deployment • Support Data Operations team with equipment set up and inventory tracking Qualifications: • Bachelor's degree in Industrial Engineering, Operations Management, or similar • 3+ years of industry experience in one or more of the following fields/roles: Operations (i.e. data, product, lab, R&D, etc.), Test/Quality/Support Engineering or Technical Program Management • Sound technical troubleshooting and triage methodology • Clear and concise written and verbal communication, and communicates with technical and non-technical individuals with ease Type: Contract Duration: 6 months with extension Work Location: Sunnyvale, CA or San Diego, CA (100% on site) Pay range: $ 47.00 - $ 62.00 (DOE)

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

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

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

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