Postdoctoral scholar jobs in Redwood City, CA

Research Scientist We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

Role: Founding Applied Researcher Commitment: Full-Time, In Person Salary: up to $300k + 2% equity Must have previous AI/Multimodal/Generative systems experience About the Role Our client are building a fast-growing marketplace connecting elite creative talent award-winning artists, filmmakers, designers, and musicians with leading AI labs developing next-generation generative media models (e.g., state-of-the-art video, audio, and multimodal systems). A small, high-talent-density team with backgrounds from top universities and research-driven organizations, backed by founders and senior researchers from frontier AI labs and industry-leading research groups. They value initiative over instruction, autonomy over consensus, and reward exceptional talent with exceptional upside both in compensation and impact. Role Overview As a Founding Applied Researcher, you will design and build the next generation of generative media benchmarks evaluations that meaningfully push the boundaries of what foundation models can understand, generate, and perform. You will collaborate directly with researchers at frontier labs and fast-moving startups, helping define evaluation standards for multimodal and generative systems. This is a rare opportunity to own critical research efforts from day one, work on deeply novel challenges, and shape the direction of the field. What You'll Do Design, develop, and validate new benchmarks that test advanced real-world capabilities in generative media models Create novel evaluation methodologies, including dataset construction, task formulation, and scoring frameworks Collaborate closely with researchers at leading AI labs to identify gaps in existing evaluation pipelines and define new standards Prototype and iterate rapidly, balancing scientific rigor with practical constraints Influence research direction and help define best practices for a growing applied research organization What We're Looking For Academic & Research Background Master's degree or PhD in Machine Learning, NLP, Computer Science, or a related field Exceptional undergraduates with strong research track records are also encouraged to apply Demonstrated research excellence through publications at venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, or similar Technical Skills Strong proficiency in Python for research, prototyping, and experimentation Experience with evaluation, benchmarking, or model analysis Familiarity with multimodal systems, generative models, or foundation model behavior is a plus Mindset & Attributes Strong initiative and comfort operating autonomously Eagerness to tackle open-ended problems with no established playbook Ability to collaborate with industry researchers and clearly communicate findings Compensation & Ownership Competitive equity package with true founding-level ownership Opportunity to define foundational research culture and influence product direction from inception

⚡ Research Scientists/Engineers (all levels) 🔍 Focus on Vision Data Infrastructure 🤖 Fundamental AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $250,000 - $600,000 salary + annual bonus Come join one of the only research institutions globally with resources to compete with top AI companies =>10s of 1000s of GPUs to explore state-of-the-art research in LLMs, Multimodal and Agentic AI. Currently seeking AI talent with expertise in building scalable pipelines for vision data to support both image/video generative training and multi-modal alignment. You'll design high-performance pipelines for large-scale image and video datasets, enabling efficient pretraining, alignment, and simulation-based data generation. Responsibilities: Vision Data Sourcing & Curation Collect and organize image and video data from open datasets and the web. Handle data cleaning, filtering, deduplication, and metadata generation. Ensure ethical and compliant data collection at scale. Processing & Augmentation Build high-throughput pipelines for vision data preprocessing (frame extraction, resolution normalization, format conversion, latent caching). Implement GPU-accelerated augmentation and distributed data loading (WebDataset, TFRecords, Parquet). Synthetic & Simulation-Based Data Generation Use simulation tools (e.g., Unreal Engine 5, Isaac Sim, Unity) to generate high-quality synthetic vision data. Create specialized datasets for VLM training, visual reasoning, and agent interaction. Requirements: Strong experience with data engineering, computer vision, or machine learning infrastructure. Expertise in building and scaling ETL/data pipelines for large unstructured datasets. Proficiency with Python, PyTorch, and distributed data frameworks (e.g., Ray, Spark, Dask). Experience with WebDataset, TFRecords, Parquet, or similar high-throughput data formats. Familiarity with GPU-accelerated preprocessing, NVIDIA DALI, or equivalent systems. Understanding of image/video codecs, data compression, and cloud storage optimization. Preferred Experience: Prior work with simulation-based or synthetic data generation using Unreal Engine, Isaac Sim, or Unity. Experience curating datasets for multimodal or vision-language model training. Knowledge of data ethics, privacy, and compliance frameworks for large-scale AI datasets. Experience contributing to open datasets or data-centric AI research. Why apply: Opportunity to join a fast-growing core team that are already pushing AI breakthroughs Highly competitive salary package Work alongside ambitious and bright superstars from tech and academia Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

AI/ML Scientist - Build the Future of Physics AI- $250,000 to $275,000 Salary You will be part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation. The platform is built on massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. This foundation unlocks something big, enabling the generation of large scale datasets that power the next generation of ML models across industries. You will be on the front lines of building and productizing new machine learning approaches for physics based problems, from CFD to thermal simulation. Your work will not just live in a paper, it will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what is possible in Physics AI. You know that rush when your work goes from experiment to production, when the models perform, the results hold up, and you can see the impact firsthand? That is what this role is about. Ready to shape the future of Physics AI? Let's talk. No up to date resume required.

We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

Series A company looking to hire a Sr. Applied RS with a good background in multi-agent reinforcement learning. The related challenge is figuring out how to use feedback from an objective function on (consumer) pricing to reinforce a multi-agent enterprise system (many components). Qualifications: Applied Research with MS or PhD in a technical field and 4 + years relevant industry experience Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production Please note: Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide).

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

Research and Implementation of the research for future mobility services Developing innovative solutions that advance AI/ML systems for mobility services Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols Conducting research on AI safety and alignment topics Identifying research gaps and propose novel solutions to enhance performance, reliability, and adaptability of agent-based systems Prototyping frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers Required Qualifications: Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / Machine Learning Research experience in Generative AI, Agentic AI, and AI Safety and Alignment Research experience with Foundational (LLMs, VLMs, and other large-scale AI architectures), including fine-tuning, evaluation, and application to domain-specific tasks Proficient programming skills in Python and common libraries (e.g., TensorFlow, Pytorch, etc.) Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations

Job Title: Research scientist (Robotics, AI) Position Type: Full-Time / Permanent Salary range: $200,000/yr - $270,000/yr Job Description: We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated research scientists to join our founding team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA. Responsibilities: Develop new algorithms and methods for training AI models for enhancing the robot dexterity. Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.). Work with large-scale ML systems and large-scale model training/fine-tuning. Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots. Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements: Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience. Passionate about working with robots and building robot products. Excellent analytical, problem-solving, and communication skills. At least 3 years of experience conducting independent research. Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.) A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc. Proficient with Python. Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax. Experience with real robot experiments. Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc. About Us: Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at *************************** Compensation: The compensation offered will depend on various factors, including location, experience, education, and job-related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility.

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

About the team The World Model team is at the core of Li Auto's long-term vision to redefine intelligent mobility through Physical AI. As part of the Intelligent Driving division, we focus on two strategic pillars: Technical Foresight - Continuously tracking and decoding global innovations in embodied intelligence, world models, autonomous agents, and real-world foundation models. Frontier Research - Conducting exploratory studies and developing foundational capabilities that empower the next generation of autonomous systems. Our mission is to anticipate breakthroughs, translate them into actionable insights, and steer the organization's roadmap in AI planning, decision-making, and simulation. We closely monitor the progress of industry leaders like Tesla and Waymo, while also contributing to top-tier academic outputs. This is a team for researchers who think beyond today's limitations and are driven to architect the AI systems of tomorrow. Duties and responsibilities Lead strategic analysis on global trends in Physical AI, including autonomous driving, embodied intelligence, robotics, and sensorimotor foundation models. Continuously monitor and benchmark key players (e.g., Tesla FSD, Waymo Robotaxi) and emerging technologies in North America and globally. Conduct exploratory research on cutting-edge technologies related to world models, multimodal large models, and planning frameworks in AI. Produce high-quality technical and strategic insight reports for internal stakeholders to inform roadmap and business decisions. Collaborate with R&D and product teams to shape future research directions and support decision-making with clear, data-driven foresight. Participate in academic engagements, including paper drafting and submission to top-tier AI conferences (e.g., NeurIPS, CVPR, ICRA, RSS). Requirements Education/Experience Master's or PhD degree in Artificial Intelligence, Robotics, Computer Science, Cognitive Science, or related disciplines. Minimum 5 years of experience in autonomous driving, embodied AI, strategy research, or related technical domains. Proven experience in technology foresight, strategy consulting, or academic research related to Physical AI is highly preferred. Knowledge Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. Understanding of multimodal foundation models (e.g., GPT-4V, Gemini, MM-ReAct), NeRF/3D scene generation, and decision-making frameworks. Awareness of global industry and academic trends in intelligent mobility and robotics. Skills and Competencies Strong analytical, synthesis, and strategic thinking capabilities. Excellent writing and communication skills in English; bilingual in Chinese is a plus. Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. Self-motivated, intellectually curious, and oriented toward high-impact results. About Li Auto We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.

The University of California, San Francisco (UCSF) is dedicated to advancing health worldwide through innovative research, high-quality education, and exceptional patient care. UCSF is recognized for fostering collaboration among its renowned graduate schools, medical center, and research programs. The university is committed to excellence, driving breakthroughs that improve lives. UCSF serves as a hub for scientific discovery and education in the heart of San Francisco, CA. The position is in the group of Drs. Boris Bastian and Iwei Yeh at UCSF's Helen Diller Family Comprehensive Cancer Center, leaders in melanoma genetics and translational research. The lab offers a stimulating, collaborative environment with access to cutting-edge technologies and interdisciplinary expertise. Role Description This is a full-time, on-site role for a Postdoctoral Researcher based in the Melanoma Discovery Lab at the University of California, San Francisco (UCSF) is seeking a highly motivated postdoctoral fellow (MD or PhD) to study systemic immune responses to gene fusion-driven cancers. This project explores how potent oncogenic fusions can initiate neoplastic growth while simultaneously triggering immune surveillance, with Spitz tumors serving as a model. The broader aim is to understand how similar transient, immune-contained lesions may arise in other tissues and be eliminated before clinical detection. The fellow will join a collaborative effort between cancer geneticists/melanoma biologists and genetic immunologists, combining genomic and immunologic approaches to study the systemic response to fusion-driven neoplasms. Qualifications MD or PhD in cancer biology, immunology, genetics, or related fields Strong research background and publication record Experience with molecular, genomic, or immunologic methods preferred Intellectual curiosity about tumor-immune system interactions Proficiency in Laboratory Skills and experience in conducting hands-on experimental work Strong Research and Data Analysis capabilities with attention to detail Experience with publication in peer-reviewed journals is a plus To Apply Send a CV, brief statement of research interests, and contact information for three references to **********************.

Title: Research Associate - Cell Image Analysis Duration: 12-18 months Part time: 20 hours weekly - flexible shift but needs to work within business hours. Hybrid - can be flexible on days that they are working in office. Job Posting Description Join an interdisciplinary team within Client CTO organization to develop cutting-edge AI image analysis software solutions. In this role, you will leverage your expertise in cell biology to: This is a part-time (50%) hybrid position based in Santa Clara, CA. Select, classify, annotate, and correct mammalian cell imaging data to support the development and improvement of AI image analysis tools. Collaborate closely with software engineers and scientists to assess tool performance and identify areas for enhancement. Assist with data transfer, organization, and tracking to ensure smooth workflow. Document and communicate findings clearly to team members through written reports and oral presentations. Preferred: B.S./B.A. in Biology, Biotechnology, Bioengineering, or equivalent. Hands-on research experience in cell biology, including mammalian cell culture. Strong communication and teamwork skills. Demonstrated attention to detail. Computer proficiency, including Microsoft Office. Solid data analysis capabilities and experience with Excel. Proficiency in optical microscopy or automated cell imaging of mammalian cells. Experience with MATLAB and basic scripting. Prior industrial research experience.

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models, and to leverage these advances to make OpenAI's deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to enforce nuanced safety policies without trading off helpfulness and capabilities, how to make the model robust to adversaries, how to address privacy and security risks, and how to make the model trustworthy in safety-critical domains. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: * Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more. * Implement new methods in OpenAI's core model training and launch safety improvements in OpenAI's products. * Set the research directions and strategies to make our AI systems safer, more aligned and more robust. * Coordinate and collaborate with cross-functional teams, including T&S, legal, policy and other research teams, to ensure that our products meet the highest safety standards. * Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies. You might thrive in this role if you: * Are excited about OpenAI's mission of building safe, universally beneficial AGI and are aligned with OpenAI's charter * Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use. * Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases. * Hold a Ph.D. or other degree in computer science, machine learning, or a related field. * Possess experience in safety work for AI model deployment * Have an in-depth understanding of deep learning research and/or strong engineering skills. * Are a team player who enjoys collaborative work environments. 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. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.

+ Looking for a quantitative researcher with good understanding of statistical analysis. **Responsibilities:** + Conduct qualitative and quantitative user studies, primarily in-lab usability and human factors research. + Perform multivariable statistical analyses (ANOVA, Mixed model analysis, linear & logistic regression, correlation) using SPSS. + User study moderation. + Administer questionnaires and surveys. + Assist other user researchers with various user research preparation activities. + Qualitative and quantitative data analysis/synthesis. + Basic user testing analyses. **Experience:** + 3+ years of relevant experience. + Strong knowledge of experimental design and statistical analysis. + Experience with one or more of the following methods: usability studies, concept tests, benchmarks, diary studies, interviewing consumers (aka user interviews), field research, surveys. **Skills:** + Quantitative Research. + Usability research. + KPI identification research. + ANCOVA/MANCOVA/ETA2/F-TEST. + SPSS/R/STATA/NVIVO/MATLAB/JAVA/GO **Education:** + B.A./B.S. (Completed) in Human Factors, Psychology, HCI/Computer Science, or other related fields or equivalent practical experience. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: * Challenging work with amazing impact that contributes to security, peace, and freedom worldwide * Extraordinary co-workers * Some of the best tools, equipment, and research facilities in the world * Career advancement and enrichment opportunities * Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) * Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* * These benefits vary by job classification. What Your Job Will Be Like We are seeking a highly motivated and driven postdoctoral appointee to join a multidisciplinary team focused on a multiscale effort to predict metallic microstructure evolution and mechanical failures in extreme environments. Ideal candidates will be creative problem solvers with a solid foundation in uncertainty quantification, AI/ML, and materials modeling, along with experience in scientific computing, as demonstrated by relevant publications and code contributions. On any given day, you may be called on to: conduct research to develop effective supervised and unsupervised learning algorithms to facilitate large-scale computational studies of phase field and polycrystalline structure evolution. The selected candidate will work closely with Sandia Principal Investigators and will also collaborate with scientists from other national laboratories and universities involved in the project. Due to the nature of the work, the selected candidate must be able to work onsite. Qualifications We Require * PhD in a field of physical sciences, applied mathematics, engineering, or other relevant field conferred within five years prior to employment. * Knowledge and expertise in machine learning and/or uncertainty quantification. * Knowledge and expertise in computational science and/or software development. * Ability to obtain and maintain DOE Q-level security clearance. Qualifications We Desire * Proficiency in using open-source machine learning libraries such as PyTorch or JAX for developing, training, and deploying advanced machine learning models tailored to complex scientific problems. * Expertise in operator learning and generative models with a focus on their applications in the physical sciences. * Experience with reduced order modeling and latent space representations. * Strong programming skills in C++ and Python and integration of machine learning solutions into existing scientific workflows. * Collaborative research experience. * Excellent interpersonal and communication skills. About Our Team The Quantitative Modeling and Analysis Department conducts research, development, and systems engineering in computer science and engineering to address important, complex national security problems. Key research areas include uncertainty quantification, optimization, inference modeling, data analysis, and algorithm development. Much of our application development work focuses on verification, validation and uncertainty quantification of complex problems. We provide trusted design and software development for large, operations software as well as detailed scientific computing software. The work is focused on providing efficient, validated information and technologies for use in predictive modeling and decision making. Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Apply for Job * Careers * Sign In * New User

The San Francisco Police Department was established in 1849 and continually strives to become a more effective, inclusive and modern police department, while earning the trust and pride of those we serve and those who serve. Our goal is to reflect on current SFPD initiatives, assess best practices across the country, and evaluate the changing environment in policing and within the City to arrive at a strategy statement that the Department and our community can embody every day. The San Francisco Police Department stands for Safety and Respect for All. We will engage in just transparent unbiased and responsive policing. We will do so in the spirit of dignity and in collaboration with the community. And we will maintain and build trust and respect as the guardians of Constitutional and human rights. The San Francisco Police Department is committed to excellence in law enforcement and is dedicated to the people, traditions and diversity of our City. The department provides service with understanding, response with compassion, performance with integrity and law enforcement with vision. The department has grown into a nationally known police department providing law enforcement services to one of the most recognized cities in the United States. Specific information regarding this recruitment process are listed below: Application Opening: November 14, 2025 Application Deadline: Apply immediately, announcement may close any time after 2 weeks from posting date. Class & Compensation: $173,238 - $210,574 Work Location: 1995 Evans Ave, San Francisco, CA Appointment Type: Permanent Exempt: This position is excluded by the Charter from the competitive Civil Service examination process and shall serve at the discretion of the Appointing Officer. The duration of the appointment shall not exceed 36 months. Job Description Under the general direction of the Criminalistics Laboratory Manager, the Criminalist III supervises the day-to-day activities of the Forensic Biology (DNA) Unit of the San Francisco Police Department Criminalistics Laboratory. The San Francisco Police Department Criminalistics Laboratory is divided into three areas: General Criminalistics (chemical analysis; including forensic breath alcohol program), Firearms / Impression Evidence and Trace Evidence, and Forensic Biology (DNA). Essential Duties: Reviews requests for laboratory services as to the merit, urgency, and scope of the request. Develops, updates and implements written procedures to ensure compliance with ASCLD/LAB accreditation and federally mandated DNA Quality Assurance Standards for Forensic Testing Laboratories. Provides technical assistance to staff in the examination and evaluation of physical evidence. Coaches, reviews, and corrects the work of subordinate staff; measures the performance of subordinate staff and recommend disciplinary action when appropriate. Conducts administrative and technical reviews of case files and reports. Oversees safety programs. Ensures current test methodologies satisfy court requirements for validity and admissibility as evidence Administering proficiency testing (internal and external), reviewing results and recommending remedial action as necessary. Prepares written budget requests; manages state and/or federal grant programs. Prepares the DNA Unit for yearly audits. Performs the more complex identification, analyses and interpretation of physical evidence, including biological material such as blood, semen, and saliva. Presents court testimony as an expert witness concerning conclusions drawn from laboratory examinations and analyses. Related duties as assigned. Qualifications 1. Education: Possession of a baccalaureate degree from an accredited four-year college or university with major course work in criminalistics, chemistry, biochemistry, molecular biology, or a closely related field; AND 2. Experience: Four (4) years of full-time professional casework experience working in a forensic DNA laboratory performing duties of a criminalist (equivalent to the City's 8260 Criminalist II classification). AND 3. License: Possession of a valid driver's license. Note: Course work must include the subject areas of forensic science, biochemistry, genetics, molecular biology, or other subjects that provide a basic understanding of the foundation of forensic DNA analysis. Course work must include 9 (nine) cumulative semester hours or equivalent that cover the required subject areas. Substitution: Possession of a postgraduate degree in criminalistics, chemistry, biochemistry, molecular biology, or a closely related field successful completion of coursework may be substituted for up to one (1) year of the required laboratory experience. Desirable Qualification: Experience with computer database management related to forensic DNA analysis. Verification of Education and Experience: Every application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Please review our articles on Employment Application and Minimum Qualifications and Verification of Experience and/or Education for considerations taken when reviewing applications. Applicants will be required to submit verification of qualifying education and experience during the recruitment and selection process. Note: Falsifying one's education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. All work experience, education, training and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications. Applications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores. Background Investigation: Prior to employment with the San Francisco Police Department, a thorough background investigation will be conducted to determine the candidate's suitability for employment. The investigation may include, but not be limited to: criminal history records, driving records, drug/alcohol screening, and other related employment and personal history records. Reasons for rejection may include use of controlled substances and alcohol, felony conviction, repeated or serious violations of the law, inability to work with co-workers, inability to accept supervision, inability to follow rules and regulations or other relevant factors. Candidates may be required to undergo drug/alcohol screening and must clear Department of Justice and Federal Bureau of Investigation fingerprinting. Criminal records will be carefully reviewed; candidates who do not report their complete criminal records on their applications will be disqualified. Applicants will be fingerprinted. Additional Information Recruiter Information: If you have any questions regarding this recruitment or application process, please contact the recruitment analyst, Danny Wan at [email protected]. Additional Information Regarding Employment with the City and County of San Francisco: Information About The Hiring Process Conviction History Employee Benefits Overview Equal Employment Opportunity Disaster Service Worker ADA Accommodation Right to Work Copies of Application Documents Diversity Statement SFPD Recruitment: **************************************************** The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

How you will make 10x impact: General description: A machine learning/artificial intelligence specialist with experience in LLM and reinforcement learning post training. * Collaborating with the X Project team to design and develop machine learning approaches/algorithms to support the project's mission * Understanding the project's goals and challenges and conduct relevant literature surveys * Suggesting agentic RL solutions in which machines/approaches/algorithms/models can apply to those challenges * Prototype/train/evaluate RL algorithms, tools and components of large scale AI systems * Engaging with the resident community during the program, engaging with the X community, attending colloquia and tech talks. This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world * Location: X's headquarters in Mountain View, CA * Start Date(s): Early 2026 * Duration: a flexible full-time 4 mo. to 1 year program based on project team needs and your availability Throughout your AI Residency you can expect: * To be embedded into one of our confidential or public X projects * To get paid competitively and receive benefits * To be a part of a lively community of AI and ML Residents * To attend tech-talks with AI leaders from across X What you should have: * Currently enrolled in a PhD program in a STEM field such as CS, Physics, Engineering or Mathematics/Statistics with a strong interest in machine learning. * Strong experience with one or more general purpose programming languages such as Python, C/C++. * Experience with reinforcement learning (RL) and large language models (LLMs). * Ability to set up RL infrastructure and synthetic data generation pipelines. * Familiarity with operations research (OR) problems and their formalization. * Knowledge of basic ontologies and programmatically constructing knowledge graphs (KG) from structured and unstructured data. It'd be great if you also had these: * Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, COLM, ACL/EMNLP, ICASSP). * Experience with GRPO/DAPO based online reinforcement learning with LLMs(7B+) on multi-GPU settings. * Ability to produce code (e.g., in Google OR-Tools) and define rewards for formalized optimization problems. * Experience translating natural language into formal graph query languages (Cypher, SPARQL). * Experience using frontier LLMs (e.g., Gemini-Pro) to generate large-scale, high-quality synthetic datasets with automated verification steps. Additional public information: ****************************************************************************************** ******************************************************************************************************** The US base salary range for this position is $109,000 - $150,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.

Neurodegenerative diseases are one of the largest medical challenges of our time. Denali Therapeutics is a biotechnology company dedicated to developing breakthrough therapies for neurodegenerative diseases through our deep commitment to degeneration biology and principles of translational medicine. Denali is founded on the collaboration of leading scientists, industry experts, and investors who share the vision that scientific discovery energetically applied to translational medicine is the key to delivering effective therapies to patients. We invite you to consider an opportunity with Denali to help achieve our goal of delivering meaningful therapeutics to patients. This position develops, optimizes, and establishes state-of-the-art potency assays for our diverse pipeline of large molecule biotherapeutics with ligand-based and cell-based bioassays to characterize activity and potency of a variety of modalities including antibodies and Fc-fusion proteins as well as oligonucleotide-conjugates and virus-based gene therapies. Key Accountabilities/Core Job Responsibilities: Independently perform bioassays to support cell and plate-based (ELISA, ENZYME ACTIVITY) development for late stage molecule Assist in the development, optimization, and qualification of assays for product release and stability testing as well as characterization of biological activity. Support study sample testing, analysis and maintain complete and accurate records and contribute to continuing process improvement Evaluate, characterize, and document critical reagents to meet QC standards Coordinate parallel tasks across multiple projects and prioritize deliverables to meet departmental and organizational goals. Promote innovation and explore novel analytical techniques or technology. Qualifications/Skills: BS with 3+ years of industry experience or an MS 1+ years relevant experience in the industry Experience in developing and optimizing bioassays using cell based assay, ELISA, HTRF, Enzyme activity, Enzyme Kinetics, Octet is required. Proficient in aseptic technique, mammalian and primary cell handling Proficient in data analysis with Excel and statistical tools such as GraphPad Prism, SoftMax Pro, and PLA 3.0 . Familiar with electronic notebooks and documentation workflows. Ability to balance competing priorities and thrive in a dynamic, fast-paced environment Excellent laboratory, critical thinking, scientific problem-solving, and organizational skills Excellent oral and written communication skills Motivated, detail-oriented, naturally curious individual with a creative approach to scientific problem solving and a burning desire to help patients with neurodegenerative diseases. Salary Range: $107,000.00 to $131,000.00 . Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Denali offers a competitive total rewards package, which includes a 401k, healthcare coverage, ESPP and a broad range of other benefits. Learn more at ****************************************** This compensation and benefits information is based on Denali's good faith estimate as of the date of publication and may be modified in the future.This compensation and benefits information is based on Denali's good faith estimate as of the date of publication and may be modified in the future. Denali is committed to its core company value of unity by creating a diverse and inclusive environment. We are proud to be an equal opportunity employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, basis of disability, or any other federal, state, or local protected class.