Research associate jobs in Oakland, CA - 1,942 jobs
All
Research Associate
Research Scientist
Professional Research Assistant
Basic Life Research Scientist (3 Year Fixed Term)
Stanford University 4.5
Research associate job in Stanford, CA
The Basic Life Research Scientist at Stanford University conducts advanced experimental and computational research to study protein-RNA interactions at scale, integrating high-throughput sequencing with machine learning methods. This role involves designing and optimizing experimental protocols, analyzing data, preparing scientific reports, and mentoring junior lab members within a collaborative and inclusive environment. The position contributes to innovative genomic research with the goal of advancing knowledge in molecular biology and improving human health outcomes.
The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies -from molecular to computational approaches- to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs.
The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be .
In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication.
What we provide:
Basic science research projects with potential for broad and sustained impact on pressing biomedical problems
Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing
A collaborative, inclusive, and supportive research environment
Opportunities for authorship on research publications
A team committed to continuous learning and scientific collaboration
Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university
CORE DUTIES:
Research & Technical Development:
Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays
Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes
Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows
Troubleshoot complex experimental systems and maintain laboratory instrumentation
Organize experimental data
Data Analysis & Reporting:
• Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication
• Collaborate on data visualization and statistical analysis to support research conclusions
Laboratory Leadership & Management:
Develop and implement short- and long-term research strategies in collaboration with the Lab Head
Train and mentor junior laboratory members in experimental techniques and data analysis methods
Oversee laboratory operations including supply management, equipment maintenance, and safety protocols
Prepare specifications for specialized equipment and coordinate procurement of some research supplies
Required Qualifications:
Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience
Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies
Strong technical proficiency combined with scientific creativity and collaborative skills
Ability to work independently while contributing effectively to team-based research goals
Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward
Ability to write and prepare reports or manuscripts for presentation to large audiences.
Experience mentoring and training junior researchers
Commitment to fostering an inclusive and collaborative research environment
Preferred Qualifications:
Experience with biochemical assays for protein-nucleic acid interactions
Familiarity with computational analysis of next-generation DNA sequencing data
Prior experience in technology development or method optimization
Track record of scientific publications in peer-reviewed journals
Physical Requirements:
Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).
Please Note:
• This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however.
• Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application.
The expected pay range for this position is $75,000 to $96,000 per annum.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.
Keywords:
protein-RNA interaction, genomic research, high-throughput sequencing, molecular biology, machine learning, biochemistry, structural biology, experimental design, data analysis, scientific publication
$75k-96k yearly 1d ago
Looking for a job?
Let Zippia find it for you.
GenAI Research Scientist: LLMs & Generative Models
Menlo Ventures
Research associate job in San Francisco, CA
A leading AI technology company in San Francisco is seeking a Research Scientist to advance AI models and techniques. You'll work in a collaborative environment, focusing on novel research, and applying AI solutions to real-world challenges. Candidates with a Bachelor's or Master's degree and 2+ years of relevant experience are encouraged to apply, with a competitive salary range of $192,000 - $260,000.
#J-18808-Ljbffr
$192k-260k yearly 4d ago
AI Robotics Research Scientist
Nimble 3.9
Research associate job in San Francisco, CA
Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team.
Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce.
Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles) and Fei‑Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab).
Join us and leave your mark on the future of robotics, AI, and global commerce.
Why Join Nimble?
At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
Nimble's Core Values:
Be relentlessly resourceful - Challenge conventions and overcome obstacles.
Be legendary - Be the very best and do work that inspires.
Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.
Be dependable - Take ownership and deliver with high agency.
The Role
Nimble is looking for an AI Robotics Research Scientist to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision‑Language‑Action Models, general‑purpose robotic AI models, and reinforcement learning algorithms controlling multi‑agent robot fleets.
You will play a critical role in working with our all‑star cross‑functional team to build models with immediate applications for the world's biggest robotics opportunity.
Responsibilities
Develop and train diffusion policies, VLMs, multi‑agent deep RL policies and more
Develop data collection pipelines
Design data annotation and labeling
Support implementation of models into production systems
Qualifications
P.h.D in Robotics or Computer Science
Experience training deep learning models for robotic manipulation or mobility
Experience working with real robotic hardware
Experience training models in simulation and developing simulation environments
Experience collecting custom datasets
Experience training on open‑source datasets
Strong track record of publishing papers and/or deploying real‑world applications
Experience with system architecture, design and development
Additional Requirements
Must be able to work extended hours and weekends as needed
Must be able to work in San Francisco
$180,000 - $250,000 a year
The above range is the salary range. This position will also receive generous equity for this position.
Culture
We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
Nimble's Benefits
Paid Time Off
Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
Health Insurance
Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
Paid Parental Leave
Enjoy paid bonding time following a birth.
Commuter Benefits
Take the stress out of commuting with access to fully-paid parking spots.
Referral Bonus
Get a cash bonus for any friend or colleague that you refer to us that we end up hiring.
401k
Contribute towards a 401k for retirement planning.
Equity
Be an owner in Nimble through our equity program.
#J-18808-Ljbffr
$180k-250k yearly 1d ago
Robotics Research Scientist - Dexterous & Mobile Manipulation
Multiply Labs 3.1
Research associate job in San Francisco, CA
A cutting-edge robotics startup is looking for a Research Scientist to enhance their robotic manipulation systems. This role entails advancing research, collaborating on publications, and prototyping solutions within a multi-disciplinary team. The ideal candidate has a strong grasp of modern robotic methods and 5+ years of relevant experience, alongside a solid publication record in prestigious conferences. Compensation ranges from $160,000 to $210,000 annually, with equity options available.
#J-18808-Ljbffr
$160k-210k yearly 2d ago
Frontier Mathematical AI Research Scientist
Openai 4.2
Research associate job in San Francisco, CA
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
$106k-174k yearly est. 3d ago
Trailblazing ML Research Scientist - San Francisco
Jack & Jill/External ATS
Research associate job in San Francisco, CA
A fast-growing AI research startup in San Francisco seeks a Machine Learning Research Scientist to develop next-generation AI models. The role involves designing innovative architectures, validating model performance, and collaborating with engineers. Candidates should have a PhD or equivalent experience in a related field, a strong publication record, and proficiency in deep learning frameworks. This position offers a unique chance to impact core products and work with leading researchers in the industry.
#J-18808-Ljbffr
$95k-160k yearly est. 2d ago
Applied AI Research Scientist: Agentic Engineering Systems
P-1 Ai Inc.
Research associate job in San Francisco, CA
A leading AI company in San Francisco seeks an AI Research Scientist who will blend cutting-edge AI research with practical engineering. This role requires developing advanced systems that solve real-world engineering problems, demanding expertise in AI research and strong programming skills in Python. If you're ready to thrive in a fast-paced environment and contribute significantly to innovative projects, apply now.
#J-18808-Ljbffr
$95k-160k yearly est. 2d ago
Research Scientist, Rodent Neural Imaging
Nudge Real Estate
Research associate job in San Francisco, CA
About Nudge
At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non‑invasive, ultrasound‑based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting‑edge hardware, software, and research capabilities to create products that can benefit millions - and eventually billions - of people.
We've brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world‑class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly - people who expect the highest levels of both rigor and integrity from each other.
About the role
As a research scientist focused on rodent behavior and neural imaging at Nudge, you will:
Design and execute experiments in rodents to characterize the effects of ultrasound neuromodulation on brain circuits and behavior
Collect and analyze behavioral and neural data, with techniques such as electrophysiology, calcium imaging and/or fiber photometry
Develop and validate experimental paradigms linking neural activity changes to behavioral and physiological responses with clinical relevance
Optimize ultrasound stimulation parameters for specific brain circuits and cell types to achieve targeted neuromodulation
Translate preclinical findings to inform human neuromodulation studies
About you
PhD or postdoc in neuroscience, biomedical engineering or similar engineering discipline
Exceptional proficiency in ultrasound neuromodulation, functional ultrasound neuroimaging, optogenetics, electrophysiology, two‑photon microscopy, or fiber phototometry in animal models
Experience with automated behavioral tracking and analysis or computational analysis of neural + behavioral data
Experience designing experiments informed by ultrasound physics and acoustic field modeling is preferred
Demonstrated history of exceptional technical contribution
#J-18808-Ljbffr
$95k-160k yearly est. 22h ago
Research Scientist/Engineer - Post-training, Inference, & Safety and Security
Virtue Ai
Research associate job in San Francisco, CA
Virtue AI is at the forefront of AI security & compliance. Our mission is to build the essential AI security platform with advanced and comprehensive guardrails and red‑teaming tools that enable organizations to deploy different AI applications confidently and responsibly in different sectors, such as finance, healthcare, telecom, retail, and government. Just as Palo Alto Networks redefined network security, our mission is to define and lead the new category of AI Security. We are a well‑funded, early‑stage startup founded by industry veterans, and we're looking for passionate builders to join our core team.
Are you a high‑performing, motivated machine learning engineer ready to make a significant impact in the AI security space? We are looking for talented engineers to develop cutting‑edge products on agent and LLM securities.
What You'll Do
As a Research Scientist, you will play a key role in developing production‑ready and cutting‑edge agent and ML security techniques. Your work will directly contribute to advancing our products and services and driving innovation within the industry.
You will:
Develop our core techniques for agent and model red‑teaming, including discovering novel testing paths, designing novel testing techniques, and developing automatic testing platforms
Develop and train our core guardrail models for different input modalities and defense targets and goals
Apply efficiency inference methods to reduce model latency
Work with the research engineers to integrate our developed techniques into products
What Makes You a Great Fit
You'll thrive in this role if you're excited by new technology, love solving customer problems, and can comfortably bridge the business and technical worlds.
Required qualifications:
Proficiency in programming languages such as Python, along with expertise in LLM libraries like PyTorch, DeepSpeed, OpenRLHF, vLLM, verl, etc
Experience in LLM finetuning for different modalities
Experience in building LLM‑based agents for various applications
Experience in conducting large‑scale red‑teaming for LLMs and agents
Preferred qualifications:
Hands‑on experience with Docker for containerization and deployment
Hands‑on experience in backend engineering (Go, C/C++) and front‑end development (Node.js, Typescript)
Enthusiasm for thriving in a fast‑paced startup environment
Strong problem‑solving skills and effective communication abilities
Why Join Virtue AI
Competitive base salary compensation + equity commensurate with skills and experience.
Impact at scale - Help define the category AI security and partner with Fortune 500 enterprises on their most strategic AI initiatives.
Work on the frontier - Engage with bleeding‑edge AI/ML and deploy AI security solutions for use cases that don't yet exist anywhere else yet.
Collaborative culture - Join a team of builders, problem‑solvers, and innovators who are mission‑driven and collaborative.
Opportunity for growth - Shape not only our customer engagements, but also the processes and culture of an early lean team with plans for scale.
Equal Opportunity Employment
Virtue AI is an Equal Opportunity Employer. We welcome and celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, marital status, national origin, ancestry, age, disability, medical condition, veteran status, or any other status protected by law.
We also provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs, consistent with legal requirements.
#J-18808-Ljbffr
$95k-160k yearly est. 3d ago
Fund & Co-Investment Research Associate
Allocate Holdings Inc.
Research associate job in Palo Alto, CA
Fund & Co-Investment ResearchAssociate About Allocate
Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs.
About the Role
We're seeking a Fund & Co-Investment ResearchAssociate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform.
You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions.
Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current.
Key Responsibilities
Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations.
Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal.
GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development.
Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards.
Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence.
Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience.
Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency.
Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets.
Qualifications Experience & Knowledge:
3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields.
Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate.
Strong understanding of private markets and alternative investments.
Skills & Attributes:
Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do.
Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators.
Highly personable: You build authentic relationships with both GPs and wealth advisory teams.
Commercial mindset: You think about client needs, platform scalability, and growth.
Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly.
Meticulous attention to detail: You ensure accuracy and compliance across all materials.
Analytical excellence: You combine quantitative rigor with qualitative judgment.
Not a Fit If You're:
A pure allocator looking for a traditional fund-of-funds seat.
More comfortable with analysis only role than relationship-building and client engagement.
Seeking a slow-paced, process-heavy environment.
Unfamiliar with how technology platforms operate.
Why Allocate?
Shape the infrastructure layer for an entire industry.
Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world.
Allocate is one of the fastest-growing platforms in private markets.
Palo Alto office in the heart of the venture ecosystem.
High impact, high visibility work with real ownership and autonomy.
Additional Information
Location: Palo Alto, CA. Must be able to work in-office 4 days a week.
Compensation: $160K-$200K base + bonus + stock equity.
Benefits: Medical, dental, vision, 401(k), responsible time off.
Employment: Full-time.
Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship.
#J-18808-Ljbffr
$49k-80k yearly est. 22h ago
Foundational LLM Research Scientist - Scaling & Efficiency
Aldea Inc. 3.9
Research associate job in San Francisco, CA
A multi-modal foundational AI company is seeking a Foundational AI Research Scientist to lead research on large-language-model architectures. The role involves designing and validating new transformer variants and attention mechanisms for production systems. Ideal candidates will have a Ph.D. and 3+ years of industry experience in AI research, with deep knowledge of sequence modeling architectures and pre-training of large models. The position offers a competitive salary, flexible PTO, and comprehensive benefits.
#J-18808-Ljbffr
$61k-94k yearly est. 4d ago
Research Scientist in the Center for Brain and Health - Drs Bas Rokers and Kartik Sreenivasan
New River Community College 3.7
Research associate job in San Francisco, CA
The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The research scientist will be a key member of a multidisciplinary team responsible for collection of multimodal brain data, including MR imaging, MEG, EEG, and eye tracking. The tentpole of the CBH is the first normative brain database in the region, featuring structural, functional, diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires.
The anticipated appointment start date is May 1, 2026, with a guaranteed term of 18 months and the possibility of renewal based on performance.
Responsibilities
Explore scientific questions related to the normative brain database.
Conduct data collection and processing of multimodal MR imaging, MEG, EEG, and eye tracking.
Apply big‑data analysis techniques and advanced computational methods to brain imaging data.
Collaborate with the multidisciplinary research team.
Contribute to peer‑reviewed publications and scientific communication.
Qualifications
Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field.
Postdoctoral experience or an equivalent level of experience preferred.
Extensive experience with multimodal MRI, including functional, structural, and tractography methods.
Proficiency in big‑data analysis techniques.
Experience with other large brain databases preferred.
Strong computational skills and a solid publication record.
Benefits
Competitive salary and benefits.
Housing allowance.
Other benefits as specified in the employment terms.
Application Instructions
Cover letter.
Curriculum vitae with a full publication list.
Transcript.
Statement of research interests.
Three representative publications.
Three letters of reference.
All materials must be submitted in PDF format. Applications are accepted immediately; please submit through the NYUAD careers page at ************************************************************* For questions, contact ************** or **************************.
UAE nationals are encouraged to apply.
Equal Employment Opportunity Statement
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and achieve carbon neutrality by 2040. Learn more at nyu.edu/sustainability.
#J-18808-Ljbffr
$101k-126k yearly est. 2d ago
Research Scientist - Drive Scalable ML & Broad Impact
Openai 4.2
Research associate job in San Francisco, CA
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
$106k-174k yearly est. 3d ago
AI Security Research Scientist - Red Team & LLM Guardrails
Virtue Ai
Research associate job in San Francisco, CA
A pioneering AI security company located in San Francisco is seeking a Research Scientist to develop and enhance cutting-edge agent and machine learning security techniques. The ideal candidate will have expertise in Python and various LLM libraries, with a passion for innovation in a fast-paced startup environment. This role offers a competitive salary and the opportunity to work on groundbreaking AI solutions.
#J-18808-Ljbffr
$95k-160k yearly est. 3d ago
Research Scientist - Applied AI
P-1 Ai Inc.
Research associate job in San Francisco, CA
About P-1 AI:
We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world-helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry‑level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.
Our founding team includes the top minds in deep learning, model‑based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).
About the Role:
We're seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting‑edge AI research with hands‑on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You'll be leading projects that develop agentic AI systems designed to solve real‑world mechanical, electrical, and aerospace engineering problems-systems that think, remember, act, and adapt.
This is not a “pure research” position: we're looking for a hacker‑scientist hybrid-someone who's published in top venues but is not afraid of any layer in the tech stack.
What You'll Do:
Design and implement agentic systems that autonomously solve physical engineering tasks.
Develop advanced memory, retrieval, and planning architectures for LLM‑based agents.
Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation.
Contribute to both research strategy and technical implementation-this is a hands‑on role.
Collaborate with a small, elite team of researchers and engineers across domains.
Stay on the edge of what's possible and bring promising ideas into reality.
About you:
Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures).
Are passionate about applied problems-especially in mechanical, aerospace, or electrical engineering domains.
Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.).
Thrive in fast‑moving environments and feel comfortable working towards underspecified goals.
Have a “whatever it takes” mindset: you're the kind of person makes things work.
Can go from whiteboard to working prototype without waiting for someone else to “engineer” it.
Preferred Qualifications:
PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience).
Relevant publications in top‑tier venues of your field.
Experience with physical engineering domains a plus.
Familiarity with agent tool‑use, retrieval‑augmented generation, or long‑term memory systems.
Deep knowledge of reinforcement learning algorithms and practical challenges.
Interview process:
Initial screening - Head of Talent (30 mins)
Hiring manager interview - Head of AI (45 mins)
Technical Interview - AI Chief Scientist (45 mins)
Culture fit / Q&A (maybe in person) - with co‑founder & CEO (45 mins)
#J-18808-Ljbffr
$95k-160k yearly est. 2d ago
Forward Deployed Research Scientist (Biology)
Menlo Ventures
Research associate job in San Francisco, CA
About Goodfire
Behind our name: Like fire, AI holds the potential for both immense benefit and significant risk. Just as mastering fire transformed human history, we believe the safe and intentional development of AI will shape the future of our species. Our goal is to tame this new fire.
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems. We believe that deep research breakthroughs are necessary to make this possible.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We've raised $59M from investors like Menlo, Lightspeed and Anthropic and work with customers including Arc Institute, Mayo Clinic, and Rakuten.
About the role
Scientific AI models trained to model natural systems are revolutionizing research across scientific domains, including protein interaction prediction, protein design, disease prediction, and materials discovery. We're looking for a Forward Deployed Research Scientist (Biology) to join our team to work directly with customers to develop new techniques for understanding and designing large biological foundation models. You'll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Where you might contribute:
Forward deployed research - lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they've learned.
Project delivery and implementation - own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more.
Key Responsibilities:
Work directly with customers to conduct original research in interpretability and computational biology.
Prototype techniques to visualize and manipulate internal model structures.
Collaborate with engineering to turn research into production-ready tools.
Drive partnership success by collaborating closely with our customers and partners.
Help define and evolve our research direction.
Required experience
PhD/MD or equivalent experience in biology, with a strong ML background and experience in computational biology or bioinformatics.
Deep familiarity with large models and a passion for understanding how they work.
Fluency in Python and ML frameworks such as PyTorch.
Strong writing and communication skills for explaining complex ideas.
Drive to move quickly and take ownership.
Preferred qualifications
Experience leading research in a forward deployed environment and in service of a customer's requirements.
Familiarity with interpretability, alignment, or safe model development.
Experience in startup or fast-paced lab environments.
Our values
Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.
Put mission and team first
All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.
Improve constantly
We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.
Take ownership and initiative
There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we're building.
Action today
We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.
What we offer
This role offers market competitive salary, equity, and competitive benefits.
The expected salary range for this position is $220,000 - $315,000 USD
Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory - we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life's work with us, even if you believe you do not meet every single requirement, apply now.
#J-18808-Ljbffr
$95k-160k yearly est. 3d ago
Life Science Research Professional - 2-year fixed term (Multiple positions)
Stanford University 4.5
Research associate job in Stanford, CA
Life Science Research Professional - 2-year fixed term (Multiple positions) at Stanford University summary:
The Life Science Research Professional supports rodent neuroscience research focused on brain disorders such as Alzheimer's and Parkinson's at Stanford University. Responsibilities include conducting experiments involving mouse MRI imaging, optogenetic virus injections, brain histology, colony management, genotyping, and data analysis. The role also involves lab maintenance, inventory management, training new staff, and contributing to scientific publications.
Does the brain fascinate you? Do you want to fight Alzheimer's, Parkinson's, Epilepsy, and stroke? Are you a team player with precise hands-on lab skills? The Jin Hyung Lee Lab at Stanford University is seeking a Life Science Research Professional 1 (2 Year Fixed Term) to support rodent neuroscience research projects using cutting edge laboratory techniques. Main duties will include assisting with mouse MRI imaging, optogenetic virus injections, mouse brain histology, mouse colony management and genotyping, and data analysis (e.g. electrophysiology spike sorting).
Our current lab website is ************************* (will be updated soon) and our LinkedIn page is
Duties include*:
Plan approach to experiments in support of research projects in lab and/or field based on knowledge of scientific theory.
Independently conduct experiments; maintain detailed records of experiments and outcomes.
Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researcher.
Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research.
Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.
Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed.
Assist with orientation and training of new staff or students on lab procedures or techniques.
*- Other duties may also be assigned
DESIRED QUALIFICATIONS:
Ability to perform precision hands-on lab work with minimum error.
Good skills in brain histology.
Prior rodent research lab experience.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree in related scientific field.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.
Ability to maintain detailed records of experiments and outcomes.
General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
Ability to work under deadlines with general guidance.
Excellent organizational skills and demonstrated ability to accurately complete detailed work.
PHYSICAL REQUIREMENTS*:
Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.
Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.
Must have correctible vision to perform duties of the job.
Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
Ability to lift heavy objects weighing up to 50 pounds.
Ability to work in a dusty, dirty, and odorous environment.
Position may require repetitive motion.
*- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
May require working in close proximity to blood borne pathogens.
May require work in an environment where animals are used for teaching and research.
Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present.
Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator.
May require extended or unusual work hours based on research requirements and business needs.
WORK STANDARDS:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, *******************************
The expected pay range for this position is $31.40 to $38.89 per hour.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (************************* provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at
. For all other inquiries, please submit a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
This position is fully on-site.
Keywords:
neuroscience research, rodent models, mouse MRI imaging, optogenetics, brain histology, colony management, genotyping, electrophysiology, laboratory techniques, data analysis
$31.4-38.9 hourly 1d ago
Foundational AI Speech Scientist, STT/TTS Research, Equity
Aldea Inc. 3.9
Research associate job in San Francisco, CA
A pioneering AI company based in San Francisco seeks a Foundational AI Research Scientist (Speech) to drive advancements in speech understanding and generation. This role requires a Ph.D. and extensive experience in TTS and STT systems. Responsibilities include prototyping architectures, executing validation experiments, and collaborating with engineering teams. The ideal candidate will have deep expertise in modern sequence modeling and a proven track record with large-scale datasets. A strong engineering intuition and the ability to translate complex ideas into maintainable code are essential.
#J-18808-Ljbffr
$61k-94k yearly est. 3d ago
Research Scientist, Mathematical Sciences
Openai 4.2
Research associate job in San Francisco, CA
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
$106k-174k yearly est. 3d ago
Life Science Research Professional 1 (1 Year Fixed Term)
Stanford University 4.5
Research associate job in Stanford, CA
The Life Science Research Professional I at Stanford University's Department of Genetics conducts high-throughput biochemical and chromatin biology research, focusing on DNA binding proteins and CRISPR enzyme characterization. The role involves designing and performing experiments, maintaining lab equipment, and collaborating within a multidisciplinary team to advance genomic technologies and cellular epigenome studies. Candidates should have a bachelor's degree in a related field, experience with molecular biology techniques, and strong organizational and analytical skills.
The Department of Genetics at Stanford University seeks a 1 year fixed term Life Science Research Professional (LSRP) I to join William Greenleaf's lab, focusing on new, high-throughput technology for biochemistry and chromatin biology. The LSRP will be an integral member of a diverse and interdisciplinary research team determined to transform the study of biomolecular interactions and cellular epigenomes. Current priorities include exhaustive profiling and biophysical modeling of sequence landscapes for DNA binding proteins, and characterization of newly discovered and engineered CRISPR enzymes. Other projects in the lab include building a genome-level human cell atlas of gene expression and DNA accessibility and improving single-cell genomic technologies. More broadly, the Greenleaf lab joins the rest of the Genetics department in crafting sequencing- and big data-driven answers to longstanding questions regarding the physical basis of gene regulation and cellular differentiation.
A successful future member of the lab will be a team player ready to be organized, solve problems, and communicate his/her findings effectively. We invite motivated, creative, and reliable individuals to apply to join us in our highly collaborative, cutting-edge research at the forefront of modern biology.
Specific tasks include being trained for and performing a technique newly developed in the Greenleaf lab - massively parallel filter binding - and maintaining and expanding the constituent equipment as needed. The LSRP will also be expected to contribute their own ideas and techniques to the lab and attend lab meetings and journal clubs.
Other duties include:
Plan approach to experiments in support of research projects in lab and/or field based on knowledge of scientific theory.
Independently conduct experiments; maintain detailed records of experiments and outcomes.
Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researcher.
Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research.
Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.
Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed.
Assist with orientation and training of new staff or students on lab procedures or techniques.
*- Other duties may also be assigned.
DESIRED QUALIFICATIONS:
Bachelor's degree in Bioengineering, Genetics, Biochemistry, or Molecular Biology.
Experience with general molecular biology techniques, such as PAGE, PCR, qPCR, etc.
Experience performing and analyzing experiments independently for a scientific publication
Experience with tissue culture
Familiarity with CRISPR/Cas9
Experience with high-throughput sequencing methods
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree in related scientific field.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.
Ability to maintain detailed records of experiments and outcomes.
General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
Ability to work under deadlines with general guidance.
Excellent organizational skills and demonstrated ability to accurately complete detailed work.
CERTIFICATIONS & LICENSES:
None.
PHYSICAL REQUIREMENTS*:
Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.
Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.
Must have correctible vision to perform duties of the job.
Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
Ability to lift heavy objects weighing up to 50 pounds.
Ability to work in a dusty, dirty, and odorous environment.
Position may require repetitive motion.
*- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
May require working in close proximity to blood borne pathogens.
May require work in an environment where animals are used for teaching and research.
Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present.
Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator.
May require extended or unusual work hours based on research requirements and business needs.
WORK STANDARDS (from JDL):
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, *******************************
The expected pay range for this position is $26.44 to $36.54 per hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https:///benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Keywords:
Life Science Research, Genetics, Molecular Biology, CRISPR, High-throughput Sequencing, Biochemistry, Chromatin Biology, DNA Binding Proteins, Genomic Technologies, Lab Techniques
How much does a research associate earn in Oakland, CA?
The average research associate in Oakland, CA earns between $40,000 and $99,000 annually. This compares to the national average research associate range of $41,000 to $87,000.
Average research associate salary in Oakland, CA
$63,000
What are the biggest employers of Research Associates in Oakland, CA?
The biggest employers of Research Associates in Oakland, CA are: