Scientist jobs in Alameda, CA - 2,340 jobs

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

### As a research scientist with Martian, you will develop new techniques to understand how AI models work. This work will focus on exploring and improving a technique we call “model mapping”: converting transformers into more interpretable representations (such as programs). We are looking for people who can develop and scale up methods for making transformers more interpretable through model mapping and then understanding the transformers in the new domain we map to. Full details can be found here. #J-18808-Ljbffr

A technology firm specializing in neuroscience is seeking a Research Scientist focused on rodent behavior and neural imaging. The ideal candidate will design experiments, analyze neural data, and translate findings to human studies. Candidates should hold a PhD or postdoc in relevant fields and demonstrate proficiency in ultrasound neuromodulation techniques. This role is critical for advancing non-invasive brain research. #J-18808-Ljbffr

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

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

*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.*Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you'll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!**Job Category**Software Engineering****Job 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.****Accommodations****If you require assistance due to a disability applying for open positions please submit a request via this .****Posting Statement****Any 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.### ### ### ### ### ###Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world. Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the “Most Admired Companies in #J-18808-Ljbffr

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Behavioral Research Scientist Salary: $140,000-$160,000 + Equity Company Description: VC-backed AI simulation platform Job Description: Shape the cognitive and behavioral foundations of AI agents for a cutting‑edge simulation engine. This role involves applying scientific depth to model decision‑making, attention, and heuristics, impacting how next‑generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real‑world impact to scalable systems. Location: San Francisco, USA Why this role is remarkable: Join a team creating category‑defining technology, building the simulation layer for adaptive software. Backed by top‑tier VCs and product/engineering leaders from leading tech companies. Apply deep behavioral science and cutting‑edge AI to solve complex product challenges with immediate impact. What you will do: Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision‑making. Translate behavioral theories into practical agent architectures, defining user clusters and personas. Design and analyze in silico experiments to test agent responses and benchmark simulation realism. The ideal candidate: PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI. Proven experience conducting original research on decision‑making or behavioral modeling in digital contexts. Passionate about applying rigorous scientific research to real‑world, impactful AI systems. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction #J-18808-Ljbffr

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Responsibilities Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models Develop robust evaluation frameworks to measure model alignment, safety, and output quality Create and optimize data collection pipelines for human feedback and preferences Design and conduct experiments to validate alignment techniques and their scaling properties Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment Mentor junior researchers and foster a culture of responsible AI development Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Must have: Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models Extensive experience implementing and optimizing large-scale training pipelines using PyTorch Deep understanding of reinforcement learning techniques, particularly RLHF Experience with distributed training systems and large-scale experiments Proven track record in designing and implementing robust evaluation frameworks Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Strong software engineering skills and experience with complex shared codebases Ideal candidate will have: Experience with diffusion models or other generative architectures Background in fine-tuning large language models or generative models Experience working with human feedback data collection and annotation pipelines Strong aesthetic sense and understanding of video quality assessment Familiarity with alignment techniques such as constitutional AI or debate Track record of successful collaboration with product teams Experience with perceptual quality metrics and human evaluation design Contributions to open-source projects in AI alignment or generative AI Additional Information Additional Information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. #J-18808-Ljbffr

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

About Sygaldry Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. About the Role Generative AI is transforming what's computationally possible-but it's also exposing the limits of classical hardware. Diffusion models produce extraordinary results, yet their iterative sampling and high-dimensional score estimation create computational bottlenecks that scale poorly. We believe quantum computing offers a path through these bottlenecks. As an ML Research Scientist, you'll work at the frontier of generative modeling and quantum acceleration, developing the theoretical foundations and practical implementations that connect these fields. You'll identify where quantum approaches can provide genuine advantage in generative workflows-not incremental improvements, but structural speedups rooted in the mathematics of these models. What You'll Work On Generative Model Architecture & Efficiency Advance state-of-the-art diffusion and score-based generative models Analyze computational bottlenecks in sampling, denoising, and likelihood estimation Develop and benchmark novel solver methods for diffusion ODEs/SDEs Quantum-Classical Integration Identify mathematical structures in generative models amenable to quantum speedup Prototype hybrid workflows where quantum subroutines accelerate classical pipelines Rigorously benchmark theoretical versus practical advantage in realistic workloads Research to Production Translate research insights into scalable implementations Collaborate with quantum hardware teams to inform architecture requirements Build systems that make quantum-accelerated generation accessible to practitioners You May Be a Good Fit If You Have deep expertise in diffusion probabilistic models, score matching, or related generative methods Understand the mathematical foundations: SDEs, ODEs, Langevin dynamics, probability flow Are experienced with ML frameworks (PyTorch, JAX) and efficient inference implementation Question assumptions and validate with rigor, following interesting threads wherever they lead Communicate complex ideas clearly across research communities Are excited to work on problems no one has solved before Strong Candidates May Have Published research on diffusion models, score-based generation, or neural ODE/SDE methods Experience optimizing sampling efficiency (DDIM, DPM-Solver, consistency models, etc.) Familiarity with numerical methods for differential equations Understanding of quantum algorithms and computational complexity Background in high-dimensional probability or stochastic processes Why This Matters Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable. How We're Different We're building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We're looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI. Culture & Benefits Visa Sponsorship - We know what it takes to make top talent thrive here. We're open to supporting visas whenever possible. Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity. Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind. Connection - Whether it's company offsite or casual crew socials, we make time to connect, recharge, and have fun together. Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact. We encourage applications from candidates with diverse backgrounds. 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. We encourage you to apply even if you do not believe you meet every single qualification. If you don't think this role is right for you, but you believe that you would have something meaningful to to contribute to our mission, please reach out at ********************** #J-18808-Ljbffr

An innovative AI startup in San Francisco is looking for a Foundational AI Research Scientist to pioneer next-generation large-language-model architectures. Ideal candidates will have a deep understanding of sequence modeling architectures, expertise in PyTorch, and experience in pre-training large language models. Join a dynamic team to help shape the future of intelligent human-machine interfaces. #J-18808-Ljbffr

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

A leading data and AI platform in San Francisco is seeking a Research Scientist for the GenAI Team. This role involves advancing deep learning techniques and working with large-scale LLMs. The ideal candidate will have a passion for innovation, solid machine learning skills, and a commitment to improving user experiences. Competitive compensation ranges from $150,000 to $190,000 USD, reflecting the importance of this role within the company. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Research Scientist in mathematical sciences to design and build AI models that tackle complex scientific problems. The ideal candidate will have strong communication skills and experience with frontier models. This position operates on a hybrid work model, valuing rigor and reproducibility in scientific research. Competitive compensation is offered. #J-18808-Ljbffr

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Key responsibilities Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content Design and conduct rigorous experiments to validate new ideas and evaluate model performance Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences Contribute to the research community through high-quality publications and open-source contributions Mentor junior researchers and foster a culture of innovation within the research team Work closely with product teams to align research directions with user needs and market opportunities Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Must have: Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models Extensive experience implementing and optimizing large-scale generative models for image or video tasks Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Proven ability to work collaboratively in a team environment Ideal candidate will have: Postdoctoral or industrial research experience in generative AI for video Hands-on experience with text-to-video generation projects Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video Experience working with large-scale datasets and distributed computing environments Track record of successful collaboration with product teams on technology transfers Familiarity with video codecs, compression techniques, and perceptual quality metrics Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. #J-18808-Ljbffr

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

A VC-backed AI simulation platform in San Francisco is seeking a Behavioral Research Scientist to shape AI agents' cognitive foundations. The role focuses on modeling decision-making processes, translating theories into practical frameworks, and conducting experiments to enhance simulation realism. Ideal candidates will have a PhD in relevant fields and experience in behavioral modeling. Join a passionate team making a real-world impact in AI technology. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a research scientist focused on cell biology. The role involves developing methods for ultrasound characterization on neural tissue, conducting experiments, and translating findings to human studies. Ideal candidates will have a PhD or postdoc background and exceptional skills in neural techniques. This is an opportunity to be part of an innovative team dedicated to improving lives through technology. #J-18808-Ljbffr

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $460K #J-18808-Ljbffr