Scientist jobs at Amazon - 5435 jobs

Lead Natural Language Modeling Research Scientist, Siri Speech San Francisco Bay Area, California, United States Machine Learning and AI Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies and its application to virtual assistants to enrich billions of people!? Join the SWE Response team at Apple! We are looking for an exceptional senior research scientist experienced in design and development of training, adapting and deploying large scale ML models with a focus on natural language understanding, generation, speech and/or multimodal generation. Additionally, you'll advance and apply the latest ML techniques to Apple's virtual assistant and dive into the details to craft the Siri experience for millions of users worldwide. Description We are seeking a lead scientist candidate with a proven track record in applied ML research who is not only capable of hands‑on work but also leading projects. Responsibilities in the role will include training large‑scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy‑preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross‑functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user‑experience initiative would focus on enriching system safety experience. Minimum Qualifications 5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech Hands‑on experience training LLMs, adapting pre‑trained LLMs for downstream tasks & human alignment Proficiency in using ML toolkits, e.g., PyTorch Strong programming skills in Python, C and C++ Preferred Qualifications JAX (nice to have) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal‑opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #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

Job Category Job Type Full-Time Job # 402630 Job Department Artificial Intelligence Center Lab Summary: Samsung's AI Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language and Personal Intelligence lab. Our goal is to perform research and development with direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence. Position Summary: We are looking for an experienced research leader to drive product-focused research in On-Device Personalization, leveraging LLMs and machine learning to shape next-generation AI-driven user experiences. This role will focus on ambient intelligence, ensuring seamless, adaptive, and privacy-preserving personalization at the edge. You will craft the vision, lead innovation, and collaborate across research, engineering, and product teams to push the boundaries of AI-driven user interaction. Influence the future of on-device AI and personalization at scale. Work with a team of world-class researchers and engineers. Drive groundbreaking AI research into real-world impact. Competitive compensation, benefits, and growth opportunities. If you are excited about crafting the future of AI-driven, personalized experiences, apply now and be part of an innovative, forward-thinking team. Position Responsibilities: Lead and define the vision for on-device personalization and ambient intelligence, driving research that enables LLM-powered, user-centric experiences Spearhead research and development efforts in LLM-driven personalization, context-aware AI, and on-device machine learning to enhance user experiences Collaborate closely with cross-functional teams, including product managers, research scientists, and platform engineers, to align cutting-edge AI research with real-world product applications Architect and optimize on-device LLM models, ensuring efficient performance under computational constraints while maintaining personalization accuracy and privacy Translate research advancements into scalable, production-ready AI solutions, integrating seamlessly with consumer applications and devices Build and mentor a high-performing team of engineers and researchers, fostering a culture of innovation, collaboration, and technical excellence Engage with the broader research community, contribute to publications, and drive thought leadership in on-device AI, personalization, and ambient intelligence Required Skills: PhD (preferred) or Master's degree in Machine Learning, Natural Language Processing (NLP), AI, or a related field. or equivalent combination of education, training, and experience 14+ years of technical leadership experience, driving AI/ML research into real-world product applications Proven experience in LLM-based product experiences, personalization, and on-device AI Strong understanding of on-device machine learning, federated learning, and computational efficiency optimizations Expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and NLP model architectures (Transformer-based models, Distillation, LoRA, Quantization, etc.) Exceptional collaboration and communication skills, with a track record of partnering across research and product teams A passion for ambient intelligence and the future of intuitive, AI-powered experiences Special Attributes: Experience with edge computing, mobile AI frameworks (Core ML, TensorFlow Lite, ONNX Runtime, etc.), and privacy-preserving AI Contributions to top AI/ML conferences (NeurIPS, ICML, ACL, CVPR, etc.) Track record of building and scaling AI-powered personalization solutions Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Base Pay Range $224,200 - $365,000 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email *********************. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency #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 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

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 technology company is seeking a Senior Research Scientist to advance quantum computing techniques. The role encompasses research on error mitigation protocols and collaboration with experimentalists. Candidates should possess a PhD in a related field and have experience in quantum systems. This high-impact position involves driving innovation in practical quantum computation, significantly influencing the field's trajectory. #J-18808-Ljbffr

A leading tech company is hiring a Research Scientist in San Francisco to design and model superconducting quantum devices, advancing quantum computing technology. The ideal candidate will hold a PhD in a relevant field and possess strong engineering principles, organization, and communication skills. The role involves collaboration within a diverse team to drive innovation. Competitive compensation ranges from $136,000 to $212,800 annually, reflective of experience and location. #J-18808-Ljbffr

Google Goleta, CA, USA ; Los Angeles, CA, USA ; +2 more Apply X Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; San Francisco, CA, USA. PhD degree in Physics, Computer Science, Engineering, Quantum Information Science, or a related technical field or equivalent experience. 2 years of experience in Quantum Computing, Chemistry, Computational Physics, Mathematical Modeling, or Applied Mathematics. Experience with experimental operation of quantum systems. Preferred qualifications: Experience contributing to or leading projects within large-scale industry or scientific collaborations. Demonstrated expertise in quantum protocols, characterization methods, and advanced error mitigation/suppression techniques. About the job This is a high-impact Senior Research Scientist role focused on pathfinding leading‑edge techniques for practical quantum computation on Google's state‑of‑the‑art processors. Leveraging a strong theoretical foundation, you will bridge the gap between abstract protocols and real‑world hardware, developing methods that accelerate performance on current noisy processors and toward future error‑corrected systems. As a senior member of the team, you will have a large scope of influence, leading the way in the theory, numerical modeling, and optimization of existing approaches while playing a key role in complex and flagship quantum experiments. Your work will not only evolve the state‑of‑the‑art but will directly influence the trajectory of the field and the realization of large‑scale quantum computation at Google. The full potential of quantum computing will be unlocked with a large‑scale computer capable of complex, error‑corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. 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 . Responsibilities Lead and drive the research and development of error mitigation, suppression, and robust protocols. Architect the theoretical mitigation frameworks for flagship experiments and demonstrations. Bridge the gap to experiment by driving rigorous numerical simulations and modeling. Work in a tight feedback loop with experimentalists to solve the bottleneck problems defining the path to noise‑free results. Work across several Google teams to collaborate on real‑world use by the teams and the research community. Pioneer and publish high‑impact findings. Facilitate impact on experiments and the research community, through proactive, clear communication across theoretical and experimental teams and conferences. 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

A leading technology company is seeking a Principal Applied AI Scientist to define AI and foundation models' strategic vision, lead groundbreaking research initiatives, and mentor technical talent. Candidates should have a PhD in Computer Science, 8+ years of industry experience, and proficiency in Python and deep learning frameworks. This role emphasizes collaboration, innovation, and the application of advanced AI for real-time data processing. Competitive salary and comprehensive benefits offered in a flexible work environment. #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

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

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

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

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.

At Synectics, we're the leading data management service provider in the environmental industry. Based in Sacramento, CA since 1996, we specialize in web-based solutions for Federal government clients. Our team of scientists and programmers is passionate about revolutionizing our clients' workflows with technology and training. Check out the job details and see why you should join us! We're hiring for a dynamic position where you'll collaborate with our team, manage environmental data, and support client projects. If you've worked as an Environmental Scientist or Geologist, Laboratory Analyst or Project Manager, Project Coordinator, or in a similar role, this could be the perfect fit for you! If you're passionate about making a difference and have experience in environmental programs or project management, apply now! Responsibilities: Data Management: Assist in collecting, identifying, and organizing environmental data and documents. Collaboration: Work closely with the project team to achieve goals, timelines, and schedules. Coordination: Track field sampling activities and coordinate with clients and laboratories. Client Interaction: Host project status meetings with clients to provide updates and gather feedback. Data Analysis: Aggregate environmental data into databases for analysis and reporting. Training Support: Support training initiatives through live webinars and video production. Minimum Qualifications (Required): Education: Bachelor of Science from an accredited university in Environmental Science, Geology, Chemistry, or a related discipline. Experience: At least 1 year of experience in environmental work, such as field sampling, laboratory analysis, or project management. History of managing multiple assignments and projects simultaneously. Proven track record of delivering client-focused service and effective communication. Experience in data management. Excellent written and verbal communication skills. Desire to be part of a dynamic in-office team. This position will be a great fit for you if you have one of the following experiences: 1 - 3 years of environmental Federal Program experience at an A/E firm 1 - 3 years of experience at an accredited laboratory supporting Department of Defense programs 1 - 3 years of experience with environmental project management Why Join Synectics? At Synectics, we provide an exciting opportunity to advance your career in a collaborative and supportive environment: Career Growth Opportunities: With over 25 years in the industry, we offer stability, comprehensive training, and clear pathways for professional development. Balanced Time Off: Enjoy a structured Paid Time Off (PTO) plan, Paid Sick Leave (PSL), and 11 paid federal holidays to help you manage personal and professional commitments. Comprehensive Benefits Package: Benefit from a 401(k) plan with company matching, robust health insurance (including dental, vision, and life coverage), and resources to support your growth. Impactful Work: Be part of a team collaborating on meaningful projects for the Department of Defense and other federal clients, making a real difference in the industry. If you're looking for an exciting role in a company that invests in your future, we'd love for you to join us at Synectics! Pay Range There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, number of people reporting to you, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position is: $57,227 - $64,613