Research Fellow jobs at Pacific Northwest National Laboratory - 2351 jobs
NSIP Post Bachelors Research Associate - Emerging Threats & Technologies Division
Pacific Northwest National Laboratory 4.5
Research fellow job at Pacific Northwest National Laboratory
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The Emerging Threats and Technologies Division, part of the National Security Directorate, consists of over 400 scientists, engineers, and analysts with backgrounds in cyber, nuclear, intelligence, policy, data science, and other fields. We work in interdisciplinary project teams to provide innovative concepts that integrate policy, analytics, science, and technology into unique solutions.
Protecting U.S. residents and visitors is among our nation's highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex-from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL's scientific discovery and capabilities-rooted in innovative theory, methods, algorithms, and tools-are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.
To learn more:
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**Responsibilities**
PNNL is seeking Research Associates for assignments within the National Security Internship Program (NSIP). The Emerging Threats & Technologies Division is looking for individuals who have a passion for solving critical national challenges using advanced techniques.
Research Associates will engage with complex problems across national security, energy, and science, applying rigorous analysis and innovative research methods to deliver impactful solutions that help keep our nation safe and secure.
Research Associate appointments may be aligned with one of the following technical groups: Cyber Resilience Foundations, Cyber Risk Reduction, Innovative Security Solutions, Global Research Analysis, Strategic Threat Analysis, or Mission Alignment.
**Cyber Resilience Foundations:** The Cyber Resilience Foundations group works with government and private sector stakeholders to quickly adapt to new technology spaces, understand how their introduction into specialized domains affects system security postures, and create solutions to improve their resilience to new technologies.
Disciplines: Cyber Security Research, Cyber Security Engineering, IT/OT, Software Development, Network Architecture.
**Cyber Risk Reduction:** The Cyber Risk Reduction group performs applied research leveraging PNNL capabilities in hardware, software, and firmware security to benefit sectors critical to national security by figuring out how to deconstruct, evaluate, and improve complex systems and develop tools, practices, and skills to meet these challenges.
Disciplines: Cybersecurity Engineering, Computer Engineering, Computer Science, and Network Administration
**Innovative Security Solutions:** The evolving technology landscape is transforming the realm of physical protection and incident response, presenting new challenges such as the convergence of physical and cybersecurity threats. These interconnected domains require innovative methods to safeguard IT systems, materials, and vital infrastructure from increasingly complex risks. The Innovative Security Solutions group addresses these challenges by providing critical solutions and support for securing key assets through conventional countermeasures, while also advancing techniques to navigate the complexities of blended security environments. By leveraging operational expertise in asset protection, the group tackles the intricacies of converged security by integrating cyber and physical threat assessments and developing mitigations that enhance the protection of nuclear material and critical infrastructure.
Disciplines: Cyber and Physical security, Hardware Vulnerability Assessment, Cyber Security Training
**Global Research Analysis:**
The Global Research Analysis group leverages national laboratory expertise in mission threats, science and technology, and cultural context to identify emerging and monitor existing technologies and provide decision makers the context and understanding critical to national security.
Disciplines: Nuclear Engineering, Physics, Cyber Security
**Strategic Threat Analysis:** The Strategic Threat Analysis (STA) group leverages partnerships around the world and expertise spanning multiple domains to address complex domestic and international security challenges. STA equips decision makers with nuanced insights and mitigation strategies in a rapidly evolving threat landscape shaped by emergent adversaries and technologies. Our experts bring a deep understanding of technical analysis, nonproliferation, risk and resilience, strategic trade controls, and regional affairs, delivering solutions that address gaps in legal frameworks, outdated approaches, and vulnerabilities within international systems and institutions.
Disciplines: Law and policy analysis, data analysis, nonproliferation, counterproliferation, finance/trade analysis
**Mission Alignment:**
Bringing together senior technical and strategic advisors as a division-level advisory body to help tune and execute strategy through dedicated leadership. Working across the division's capability areas to capture emerging programmatic opportunities, coach and mentor staff on strategy and business development, support the development and execution of division strategy, and develop strategic new sponsor relationships.
**Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need. Participants will join the program as part of a cohort, with anticipated start dates in May or June 2026 for the summer cohort.**
******HOW TO APPLY******
To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration:
**Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to).
**Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "ET&T - Summer 2026 NSIP Cover Letter".
+ Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career.
If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 5:00 p.m. (PST) on the posting close date.
**Qualifications**
Minimum Qualifications:
+ Candidates must have received a Bachelor's degree within the past 24 months or within the next 8 months from an accredited college or university Minimum overall GPA of 3.3 required.
Preferred Qualifications:
+ **Disciplines of Interest:** Cybersecurity, Cyber Security Engineering, Computer Science, Software Engineering, Information Technology, Information Systems, Network Engineering, Network Architecture, Network Security, Computer Engineering, Electrical Engineering, Systems Engineering, Information Assurance, Industrial Control Systems (ICS), Cyber-Physical Systems, Physical Security, Security Engineering, Risk Management, Homeland Security, Nuclear Engineering, Physics, Engineering Physics, Applied Science, Data Analytics, Data Science, Economics, Finance, International Relations, International Affairs, Security Studies, Public Policy, Law and Policy, Nonproliferation and International Security
**Hazardous Working Conditions/Environment**
Not applicable
**Additional Information**
This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements.
**Testing Designated Position**
This is not a Testing Designated Position (TDP).
**About PNNL**
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
**Commitment to Excellence and Equal Employment Opportunity**
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** .
**Drug Free Workplace**
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
**Security, Credentialing, and Eligibility Requirements**
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
**Mandatory Requirements**
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
**Rockstar Rewards**
**Regular Hourly:**
Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.
**Temporary Hourly:**
Employees are offered an employee assistance program and business travel insurance.
Click Here For Rockstar Rewards (******************************************
**Notice to Applicants**
PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.
**Minimum Salary**
USD $27.50/Hr.
**Maximum Salary**
USD $35.77/Hr.
$27.5-35.8 hourly 6d ago
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Research Scientist - Salesforce AI Research
Salesforce, Inc. 4.8
San Francisco, CA jobs
*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategorySoftware EngineeringJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.**Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers.**Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study.Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team:**Candidates have a strong background in one or more of the following areas:*** **Agentic AI & Reasoning:** LLM-powered agents, reinforcement learning, and autonomous workflows.* **Multimodal & Computer Vision:** Vision-language models (VLM), video understanding, and visual grounding for GUI agents.* **Speech Intelligence:** Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.* **Efficient Systems:** Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.* **Core Modeling:** Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.**Responsibilities:*** Own and pursue ambitious research and engineering goals aligned with strategic initiatives.* Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.* Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.* Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.**Minimum Qualifications:*** Ph.D., Master's, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.* A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) **OR** a proven track record of shipping AI products to real users.* Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.* Experience with Python and deep learning libraries/platforms (e.g., PyTorch, Jax, or DeepSpeed).* Proven ability to implement, operate, and deliver results via innovation at a large scale.**Preferred Qualifications:*** Full-time industry experience in deep learning research and/or product development.* Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.* Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).* Strong programming skills, with a competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.* Thoughtful about AI impacts, trust, and ethics.* Outstanding communication, collaboration, and problem-solving skills.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $114,200 - $306,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $137,100 - $334,600 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.### ### ### ### ### ###
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$137.1k-334.6k yearly 6d ago
Natural Language Modeling Research Scientist, Siri
Apple Inc. 4.8
San Francisco, CA 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.
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$181.1k-272.1k yearly 3d ago
AI Research Scientist - Agentic & Multimodal Systems
Salesforce, Inc. 4.8
San Francisco, CA jobs
A leading technology company is seeking AI Research Scientists/Research Engineers to drive innovation and tackle enterprise-level problems through AI. Successful candidates will have a strong background in Computer Science or a related field, as well as experience with machine learning and AI product development. The role involves developing cutting-edge models and collaborating with cross-functional teams to deliver impactful AI solutions. This position is full-time and offers competitive compensation and benefits.
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$134k-219k yearly est. 6d ago
Research Scientist - Perception
Epsilon 4.2
San Francisco, CA 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.)
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$133k-193k yearly est. 2d ago
Research Scientist - Vision-Language Modeling
Epsilon 4.2
San Francisco, CA jobs
About Us
We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting‑edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product‑market fit with a substantial customer pipeline already in place.
Role Overview
We're seeking a Research Scientist with deep expertise in Vision Language Modeling (VLMs) to join our ML team. You'll be at the forefront of developing and deploying state‑of‑the‑art multimodal models for clinical use in radiology settings. This role focuses on training and fine‑tuning vision‑language models (VLMs) that can generate accurate & grounded radiology reports across multiple imaging modalities including X‑rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, advancing the state‑of‑the‑art in grounded medical report generation, model alignment, and inference‑time reasoning while maintaining the clinical rigor required for healthcare deployment.
Key Responsibilities
Design, train, and scale vision‑language foundation models for radiology applications.
Develop and implement advanced post‑training strategies including preference optimization (DPO, IPO, KTO), reinforcement learning from human feedback (RLHF), and other alignment techniques to improve clinical accuracy and reduce hallucinations.
Research and deploy inference‑time compute scaling techniques such as chain‑of‑thought reasoning, self‑refinement, and test‑time training to enhance model performance on complex diagnostic cases.
Pioneer grounded report generation capabilities, enabling models to spatially localize findings within medical images using bounding boxes or segmentation masks.
Design rigorous evaluation frameworks that assess text for medical accuracy and writing style.
Contribute hands‑on to all stages of model development including dataset curation, architecture design, distributed training, post‑training optimization, and production deployment.
Stay current with cutting‑edge research in vision‑language modeling, medical AI, and model alignment techniques.
Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical VLMs at scale.
Qualifications
6+ years of academia/industry experience in vision‑language modeling, multimodal learning, or related fields
Deep expertise in training and fine‑tuning large vision‑language models (e.g., LLaVA, Flamingo, CogVLM, Qwen‑VL, or similar architectures)
Strong foundation in modern post‑training techniques including:
Preference optimization methods (DPO, IPO, ORPO, KTO)
RLHF and reward modeling
Inference‑time compute scaling and reasoning strategies
Constitutional AI and other alignment techniques
Track record of implementing complex models from research papers and adapting them to new domains
Proficiency in PyTorch or JAX, with experience training large models on multi‑GPU/distributed systems
Experience with autoregressive language modeling and instruction tuning
Hands‑on experience with medical imaging applications, particularly radiology report generation
Strong software engineering skills and ability to write production‑quality code
Preferred Qualifications
Publications at top‑tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, MICCAI)
Experience with grounded generation tasks (visual grounding, referring expression comprehension)
Knowledge of evaluation methodologies for long‑form generation, including factuality assessment and hallucination detection
Experience with 3D medical image processing and temporal modeling
Familiarity with clinical NLP and medical knowledge representation
Experience with model interpretability, explainability, and uncertainty quantification in safety‑critical applications
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$133k-193k yearly est. 2d ago
Principal Research Scientist, Embodied Intelligence & Robotics
Samsung Electronics GmbH 4.6
Mountain View, CA jobs
Mountain View, CA
The Robot Intelligence Lab at Samsung Research America is a new facility dedicated to advancing the field of robotics through cutting-edge research and development. The lab's mission is to develop advanced technologies to power intelligent robotic systems capable of manipulation, navigation, and complex reasoning for a variety of high-impact application areas. To achieve this mission, the lab collaborates closely with external entities such as universities, startups, and government labs, as well as with several Samsung Product and Advanced Research labs.
Position Summary: Samsung Research America is looking for a Senior Staff Research Scientist with solid technical skills and rich academic and/or industry experience in areas of robotics and embodied intelligence. Our ideal candidate explores novel AI technologies towards generalizing robots to perform tasks in the real world and is passionate at pursuing technology patenting and publication. Samsung's unique advantage in the consumer electronics market and growing focus on AI and robotics will provide you with exciting technical challenges and a rewarding career experience. By leveraging Samsung's vast product ecosystem to deliver novel user experiences, your work will define Samsung's future in robotics and significantly impact real-world users.
Candidates with additional experience are encouraged to apply and will be considered for other opportunities.
Responsibilities
Conduct state-of-the-art research to push boundaries of emerging fields of robotics and embodied intelligence, on topics such as robotics foundation models, vision-language-action (VLA) models, vision language models (VLMs), open-world 3D perception, dexterous manipulation, and multimodal (vision, tactile, audio, semantic) data fusion
Work with the team to design and implement research prototypes and technology demonstrators on robotic platforms
Work within cross-functional, cross-divisional teams and assist in the design, analysis and performance evaluation from concept to completion
Provide technical leadership and assist in shaping R&D priorities by following up-to-date scientific research and communicating key developments
Generate patents and scientific research papers for top-tier publication venues
Qualifications
PhD degree in CS/EE/Robotics, or equivalent combination of education, training, and experience
11+ years' post-graduate experience conducting state-of-the-art robotics R&D
Strong research track-record including multiple first-author publications at top-tier venues in robotics or related fields, e.g., CoRL, ICRA, RAL, RSS, CVPR, ICML
Comprehensive understanding of the fundamentals of robotics, machine learning, and computer vision
Demonstrated experience implementing and testing complex integrated behaviors on simulated and real robots
Knowledgeable of tools and processes for ML model development, tuning, evaluation, and deployment
Familiarity with PyTorch, TensorFlow, C++, ROS, and CUDA
Excellent problem-solving skills and the ability to work independently and as part of a team
Excellent verbal communication and writing skills to effectively represent the derived results and technical concepts developed in the course of the work
Compensation and Benefits
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
$235,400 - $365,650 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
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$235.4k-365.7k yearly 2d ago
GenAI Research Scientist: Pushing LLM Frontiers
Databricks Inc. 3.8
San Francisco, CA jobs
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.
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Research Scientist, Design and Simulation, AWS Center for Quantum Computing
Amazon 4.7
San Francisco, CA jobs
The AWS Center for Quantum Computing is a multi-disciplinary team of scientists, engineers, and technicians, all working to innovate in quantum computing for the benefit of our customers.
We are looking to hire a Research Scientist to design and model novel superconducting quantum devices, including qubits, readout and control schemes, and advanced quantum processors. Candidates with a track record of original scientific contributions and/or software development experience will be preferred. We are looking for candidates with strong engineering principles and resourcefulness. Organization and communication skills are essential.
About the Team
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting‑edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee‑led and company‑sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.
Work/Life Balance
We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Export Control Requirement
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a U.S export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.
Basic Qualifications
PhD in electrical engineering, computer science, mathematics or physics
Knowledge of quantum mechanics, with expertise in at least one of the following topics: quantum technologies (sensing, communications, computing, etc.) superconducting qubits, hybrid quantum acoustic devices, cavity/circuit QED, quantum optics, open quantum systems, superconductivity (phenomenology or microscopic theory)
Proficient in a scientific programming environment
Preferred Qualifications
Experience with microwave and/or multiphysics modeling software (one or more of COMSOL, Sonnet, Microwave Office, ANSYS, Keysight ADS, Cadence AWR, Palace, etc.)
Experience with device layout scripting and automation
Effective working in a team environment with other engineers, scientists and technicians who have a wide range of technical skill levels
Los Angeles County Applicants
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accommodation and Accessibility
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ********************************************************
Equal Opportunity Statement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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$136k-212.8k yearly 2d ago
Applied Scientist III, Amazon AWS Agentic AI, AWS AI Fundamental Research
Amazon 4.7
Santa Clara, CA jobs
Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models.
As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon's heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI.
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
A day in the life
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
$150.4k-260k yearly 4d ago
Staff Scientist - Nanofabrication Facility
Lawrence Berkeley National Laboratory 4.4
San Francisco, CA jobs
The Molecular Foundry at Lawrence Berkeley National Lab's (LBNL) is seeking to hire a Staff Scientist in the Nanofabrication Facility. This individual is expected to develop and lead a research program in quantum phenomena focused on fundamental understanding and materials targeting breakthroughs in coherence and scalability for quantum computing and quantum sensing. Candidates at every level of experience, ranging from early-career (career track) to experienced staff scientist, are encouraged to apply. This is an opportunity to join a vibrant research community dedicated to excellent science and international collaboration.
The Molecular Foundry at Lawrence Berkeley National Lab's (LBNL) is a national user center for nanoscale science - one of five Department of Energy Nanoscale Science Research Centers. A multidisciplinary research center at the forefront of nanoscale science, the Molecular Foundry is a knowledge-based user facility that provides state-of-the-art expertise and instrumentation to a diverse, international community, drawing users from academia, national labs and industry. Here, you will be able to establish a leading research program taking advantage of our collaborative, interdisciplinary center.
The Staff Scientist position at the Molecular Foundry is a full-time principal investigator position with a working model based on equal division (50%/50%) of effort between user support and independent, world-class research. Beyond your own scientific research, you will support the research of a diverse and collaborative user community, who access the Molecular Foundry via a peer‑reviewed proposal process. Your unique research portfolio will attract and expand the Molecular Foundry user community and complement the environment of ongoing multidisciplinary research across LBNL.
This position is open to both career-track and career applications and the level at which the candidate will be hired is based on the experience and accomplishments.
What You Will Do:
Design and lead a robust individual research program related to the Molecular Foundry's research theme around materials for quantum science. This individual is expected to develop and lead a program on fundamental understanding of quantum phenomena in materials targeting breakthroughs in coherence and scalability in quantum computing and sensing.
Develop a thriving multidisciplinary user program, drawing from industry, academia, and national labs, through the development of unique expertise and capabilities. Provide users with support through your own efforts, hands‑on and with your expert knowledge, in the area of nanofabrication.
Manage research efforts surrounding the characterization and measurement of superconducting devices using our low‑temperature and high magnetic field physical property measurement system, as well as our ultra‑low temperature dilution refrigerator measurement tools.
Use our newly commissioned quantum information science cluster deposition system and low temperature materials characterization capabilities to develop world class novel superconductor fabrication processes for next‑generation superconducting quantum devices.
Integrate results from our materials deposition systems into unified data architectures enabling automatic characterization of superconducting thin films during growth.
Combine the in‑process data, room temperature materials characterization, and low temperature material and device performance into fundamental datasets to enable machine learning models capable of predicting the key materials properties and process parameters for highly performant superconducting materials and device designs.
Collaborate with other Foundry scientific staff members to provide scientific support for users and create and participate in collaborative research efforts beyond the single laboratory effort.
Prepare scientific data for publication in refereed journals; and present findings at seminars and conferences.
Supervise, mentor, and coach scientific and technical staff as appropriate.
Provide technical direction to graduate students, postdocs, and research associates as appropriate, and assist in the management of research projects.
Maintain a safe working environment and demonstrate respect for environmental protection, health and safety, and help instill those aspects in all staff and users of the Nanofabrication Facility.
Maintain and develop a multidisciplinary and inclusive working environment using and building upon existing programs within the Molecular Foundry and Berkeley Lab.
Share in user‑related operations, maintenance/administration, and development responsibilities within the Nanofabrication Facility.
In addition to the responsibilities above, a Career Staff Scientist will:
Perform all of the duties above with a high level of independence and autonomy and have demonstrated abilities for the above tasks.
Have an extensive and proven track record of publications and collaborations within the scope of the primary research responsibilities for the position.
What is Required:
Ph.D. or equivalent degree in physics, chemistry, materials science and engineering, or another discipline relevant to nanofabrication, nanotechnology and nanoscience.
Willingness to provide users with support through your own efforts, hands‑on and with your expert knowledge, in the area of nanofabrication.
Excellent oral and written communications skills, open‑mindedness, and the desire and ability to collaborate with multiple research groups across disciplines.
Productivity in areas related to nanoscale materials research, demonstrated by (for example) publications, talks at national and international meetings, and patents.
Demonstrated ability to carry out independent research in a diverse, collaborative environment.
Theoretical and practical expertise in nanofabrication instrumentation including reactive ion etching, atomic layer deposition, electron beam evaporation, sputtering, electron beam lithography and integrated ultra high vacuum systems.
Knowledge and experience of safety practices and safety culture in a lab setting.
In addition to the requirements above, a Career Staff Scientist:
At least 5 years of professional research experience and an established track record working in nanoscience at academic, industrial or other research institutions.
Be recognized as an active, high‑impact contributor in their specialized scientific field.
Desired Qualifications:
Experience running or directing ultra‑low temperature characterization experiments including but not limited to electrical transport measurements, high magnetic field characterization, and low background (ionizing radiation, EMI, IR/RF background, vibration…) device and material properties characterization.
Demonstrated ability in performing and leading research, and an established track record working in nanoscience at academic, industrial or other research institutions.
Excellent analytical and interpersonal skills; ability to work collaboratively with others towards broader shared goals, using clear judgment.
Proven ability to communicate effectively and articulate a compelling scientific vision across all stakeholder groups.
Required Application Materials:
Statement of research experience and interests. (3 page limit)
Application date: Priority consideration will be given to candidates who apply by December 15, 2025. Applications will be accepted until the job posting is removed.
Appointment type: This is a full‑time 2‑year, career‑track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. A Career position will be considered for those who have relevant experience or for existing Career‑Track or Term staff who have already exhausted the number of years eligible to hold a Career‑Track role.
Salary range: The expected salary for this position is $129,924 - $207,900, which fits into the full salary of $129,924 - $311,820 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.
Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA (4+ days of work onsite per week, with occasional work from home opportunities and travel‑related work opportunities). A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer:
The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti‑discrimination efforts, consistent with its obligations as a Federal and State contractor.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
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$129.9k-311.8k yearly 3d ago
Radiology Vision Scientist - Foundation Models in AI
Epsilon 4.2
San Francisco, CA jobs
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.
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$132k-184k yearly est. 2d ago
Radiology Vision-Language Scientist: Grounded Report AI
Epsilon 4.2
San Francisco, CA jobs
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.
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$132k-184k yearly est. 2d ago
Quantum Device Design & Simulation Scientist
Amazon 4.7
San Francisco, CA jobs
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.
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$136k-212.8k yearly 2d ago
Frontier Mathematical AI Research Scientist
Openai 4.2
San Francisco, CA jobs
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.
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$106k-174k yearly est. 5d ago
Research Scientist - Drive Scalable ML & Broad Impact
Openai 4.2
San Francisco, CA jobs
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.
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$106k-174k yearly est. 5d ago
Research Scientist, Mathematical Sciences
Openai 4.2
San Francisco, CA jobs
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
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$106k-174k yearly est. 5d ago
Research Scientist
Openai 4.2
San Francisco, CA jobs
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
$106k-174k yearly est. 5d ago
NSIP Post Bachelors Research Associate - Phys Detect Systems & Deploy
Pacific Northwest National Laboratory 4.5
Research fellow job at Pacific Northwest National Laboratory
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The Physical Detection Systems and Deployment Division, part of the National Security Directorate, delivers policy-informed technology solutions by removing barriers to real-world implementation. We strive to understand end-user environments to transition technology from the developmental stage to deployment. Our diverse expertise in operational systems provides tools, technologies, and approaches for combating a range of threats, both at home and in more than 100 countries around the globe.
Protecting U.S. residents and visitors is among our nation's highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex-from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL's scientific discovery and capabilities-rooted in innovative theory, methods, algorithms, and tools-are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.
**NOTE: Several documents are strictly required to submit with the application to be eligible for this position. Please read the entire job posting for detailed instructions.**
**Responsibilities**
PNNL's Physical Detection Systems and Deployment Division is focused on discovering, developing and deploying physical detection systems. We are seeking post bachelor research associate candidates for assignments within the National Security Internship Program (NSIP).
Do you want to be challenged with hard problems in national security, energy, and science and apply cutting-edge research to make our nation safer and stronger? Do you want to perform research and development critical to prevent and counter terrorism and proliferation of weapons of mass destruction? Are you interested in physics, material science, electrical engineering, mechanical engineering, systems engineering, project management or instructional design?
If you answered yes, please join us as an intern in the Physical Detection Systems and Deployment Division.
Participants will be starting in cohort sessions and must be available to start in May or June 2026 [Summer cohort].
Your research associate position will land you in one of the following focus areas:
**Advanced Engineered Systems**
We are a group of passionate makers who have a long history of building and deploying embedded sensor systems for a wide variety of sponsors and applications. We are 50+ electronics engineers, software engineers, mechanical engineers, physicists, etc.; all sharing the DNA and desire to deploy solutions for our sponsors that help the mission of national security. We focus on emerging technologies by integrating capability across electromagnetics, systems modeling, communications, analytics development, and systems design to serve as a flywheel for feeding technology advancements across the division and laboratory. Projects within the group range from mission focused, highly applied projects in support of national security to fundamental science projects.
**Detection Physics**
We represent PNNL's ultra-low background capability and develop some of the world's most sensitive radiation detection systems; driving solutions that span fundamental physics to treaty verification by integrating modeling, experimentation, data science, and support staff.
**Disruptive Technology**
We focus on the development of detection systems and data analysis techniques for a variety of missions ranging from fundamental physics to national security. Projects within the research group range from highly applied projects to fundamental science projects in the areas of nuclear/particle physics, electromagnetics, and novel sensor technology development.
**Engineered Materials**
We work on the design, synthesis, implementation, characterization, and monitoring of functional materials for national security missions leveraging chemistry, computations and models, data science, characterization tools, and non-destructive evaluation methods.
**Operational Readiness**
We steward capabilities associated with the mission assurance and operations and maintenance stage of the systems engineering lifecycle. Operational sustainment is achieved and transitioned through instructional systems, credibility assessment, logistics innovation, reliability and field engineering, and complex supply chain and interdependency analysis.
**Systems and Technology Integration**
We lead the Lab in bringing the most technology aligned, diverse, talented, and skilled project management and systems engineering staff who will do what it takes to expertly deliver on the national security detection requirements of our sponsors.
**Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need.**
******HOW TO APPLY******
To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration:
**Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to).
**Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "PDSD - NSIP Cover Letter".
+ Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career.
**If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date.**
**Qualifications**
Minimum Qualifications:
+ Candidates must have received a Bachelor's degree within the past 24 months or within the next 8 months from an accredited college or university.
+ Minimum overall GPA of 3.3 required.
Preferred Qualifications:
+ Disciplines of interest: additive manufacturing, computational modeling, eLearning design and development, electrical engineering, electromagnetics, embedded systems, instructional design, law enforcement, material science, mechanical engineering, nuclear engineering, nuclear proliferation, nuclear security and risk analysis, project coordination, project management, physics, quantum information systems, radio frequency engineering, software engineering, systems engineering, training program management, and usability testing.
**Hazardous Working Conditions/Environment**
Not applicable.
**Additional Information**
This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements.
**Testing Designated Position**
This is not a Testing Designated Position (TDP).
**About PNNL**
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
**Commitment to Excellence and Equal Employment Opportunity**
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** .
**Drug Free Workplace**
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
**Security, Credentialing, and Eligibility Requirements**
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
**Mandatory Requirements**
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
**Rockstar Rewards**
Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave**, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan* and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
* Research Associates excluded.
**Once eligibility requirements are met.
Click Here For Rockstar Rewards (******************************************
**Notice to Applicants**
PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.
**Minimum Salary**
USD $27.50/Hr.
**Maximum Salary**
USD $35.77/Hr.
$27.5-35.8 hourly 3d ago
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