Senior scientist jobs in Petaluma, CA

A frontier-stage research group is building a new class of AI systems designed to reason, plan, and act across the physical world. Their mission is to create intelligent agents capable of experimenting, engineering, and constructing in ways that dramatically accelerate scientific and industrial progress. This team combines deep technical pedigree with real-world wins at scale, including major government-funded initiatives. They operate where advanced model research meets robotics, simulation, and automated engineering systems, offering the kind of impact only possible when first-principles science meets ambitious execution. Joining means stepping into a high-ownership environment where you shape core capabilities end-to-end, influence the direction of physical-world intelligence, and help build technology the world has never seen before. Why This Role Is Compelling Work on cutting-edge reasoning, planning, and tool-use models that directly control autonomous engineering systems. Push the limits of SFT, RLHF, DPO, verifier-guided RL, and long-horizon planning in a setting where your research immediately translates into real-world capability. Operate in a high-velocity research culture with exceptional peers across agent systems, simulation, data, and complex toolchains. Have outsized ownership in a small team tackling one of the most ambitious technical problems of this decade. Role Overview The team is looking for an LLM Research Scientist to pioneer next-generation reasoning and agent architectures. Your work will span model design, alignment strategies, structured tool orchestration, and experimentation with agents interacting across real engineering workflows. This position blends deep research with hands-on systems integration, offering both autonomy and scope to lead foundational progress. Key Responsibilities Develop advanced models and prompting systems for planning, multi-step reasoning, and structured tool use. Lead training initiatives across SFT, RLHF/DPO, verifier-guided RL, and modular expert architectures to strengthen robustness and controllability. Define schemas, tool-calling strategies, policy constraints, safety mechanisms, and recovery pathways for agent behavior. Partner closely with engineering, simulation, and data teams to test, train, and evaluate models embedded in real production-like toolchains. Qualifications Significant experience in LLM research, agent reasoning models, or structured tool-use frameworks. Strong background working with SFT, RLHF, DPO, or reinforcement-learning-from-verification methods. Demonstrated ability to design, analyze, and improve long-horizon behaviors and decomposition strategies. Comfortable working across ML research, systems engineering, and real-world experimentation in a fast-moving environment. A track record of excellence and ownership in technically demanding domains.

💡 What if your next role let you push the frontier of LLM planning and tool-use-building agents that don't just talk about the physical world, but act in it to engineer, experiment, and manufacture autonomously? 🚀 Our client - a hyper-talent-dense physical-AI startup backed by top-tier builders across frontier AI and deep tech - is hiring a Senior LLM Research Scientist (San Francisco / Redwood City, In-Person). They're building Physical Superintelligence: AI systems with general physical ability-the capacity to experiment, engineer, or manufacture anything. Instead of only learning from static data, their models generate new data through automated real-world experimentation at massive scale. The role: 🧠 Develop planning, reasoning, and structured tool-use models that power autonomous engineering agents 🧪 Lead SFT + preference optimization work (RLHF / DPO) to push capability and reliability 🛡️ Build verifier-guided RL + safety constraints for robust long-horizon agent behavior 🔧 Design tool-calling schemas, recovery logic, and policy constraints so agents can operate real toolchains 🤝 Partner across agent systems, data infra, simulation, and tooling teams to train and evaluate in production workflows ⚙️ High-ownership research + systems integration on core models and agent behavior Why join? 🌍 Real-world impact at national scale-accelerating physical discovery, not just model training 🏭 A uniquely scaled platform for learning with automated experimental facilities generating new feedback loops 💰 Competitive salary + meaningful equity 🚀 Tiny, elite team with extremely high technical bar and low ego 🏢 In-person, high-velocity environment split across SF + Redwood City 📩 Interested? Apply now!

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

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 working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

⚡ 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 ************************

located in San Francisco, CA Responsibilities of the Scientist/Sr. Scientist-Stem Cell Biology/Embryology: Design and execute experiments in stem cell differentiation, organoid generation, and tissue engineering. Innovate then execute experiments to generate and differentiate human stem cells, develop functional assays, assess and interpret experimental workflows Perform mammalian embryo dissections, tissue isolations, and culture experiments to study and model developmental processes. Apply principles of developmental biology and embryology to guide tissue maturation and patterning. Collaborate with biomaterials and engineering teams to integrate cells and tissues. Develop and optimize protocols for reproducible tissue generation and maintenance. Test novel stem cell culture conditions, sort, screen, expand and differentiate hi PSCs according to latest protocols and newly developed approaches. Requirements of the Scientist/Sr. Scientist-Stem Cell Biology/Embryology: PhD in biological sciences, stem cell biology, genetics or related field. 2+ years hands-on expertise in stem cell culture (iPSCs/ESCs). Hands-on experience with mammalian embryos, including dissections and culture. Experience in molecular biology and strong problem solving skills.

Yoh is looking for a skilled and driven Senior Research Scientist, Biophysics with hands-on experience in small molecule drug discovery to join our collaborative Lead Discovery team. This is a lab-based role focused on the biophysical and mechanistic characterization of small molecule-protein interactions to support our drug discovery pipeline. This candidate must have hands on experience with designing and executing binding characterization studies using SPR. Industry: Discovery and Development Location: South San Francisco, CA Key Responsibilities: Design and execute binding characterization studies using SPR (Biacore S200 and 8K+). Conduct routine compound screening and mechanistic studies using biophysical assays (e.g., nano DSF, DLS, Spectral Shift). Manage and coordinate outsourced biophysical studies with CROs. Analyze and interpret data to support SAR and lead optimization across multiple projects. Maintain detailed experimental records and present findings in internal meetings and reports. Qualifications: PhD in Biophysics, Biochemistry, or a related field. Minimum 3 years of relevant industry experience in small molecule drug discovery biophysics. Proven expertise in SPR assay development and data interpretation. Demonstrated expertise in designing, developing, and interpreting biophysical characterization of small molecule-protein interactions by SPR. Strong familiarity with additional biophysical techniques (TSA, DLS, Spectral Shift, NMR, ITC, etc.). Proficiency with data analysis and graphing tools is a plus. #IND-SPG Estimated Min Rate: $70.00 Estimated Max Rate: $80.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

Stage: Seed Team Size: < 10 We're looking for an Applied RS who can run the gamut of ML from infra to modeling and own the entire ML pipeline--taking advanced models into production. Our ideal candidate will be looking to build a co-pilot product from the ground up: helping to drive everything from key architectural decisions, applying SOTA methods, and shipping advanced production models in close collaboration with the founders. In key role, you will have real product ownership and the chance to influence not just what gets built, but how it gets built in a true 0->1 scenario. If you have 5+ years of experience in Machine Learning (infra and modeling) with 1+ years post-training LLM's and are thinking about starting your own company someday, this could be a great entry-way for you. Not only would you get real-world experience with something so early, but you'd get a chance to make a name for yourself with our investment team as well (making it much easier to get a chance to pitch us on your own idea in the future). About Greylock Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential - backing category-defining companies such as Figma, Anthropic, Ramp, Abnormal Security, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase. About the Greylock Recruiting Team As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies

Pay Rate Range: $50.00/hr. - $55.24/hr. Target Pay Rate: $55.24/hr. Duration: 3 Months Onsite Shift (if applicable): M-F 8:00 AM - 5:00 PM JOB DESCRIPTION SUMMARY/JOB PURPOSE: The Scientist II will be joining the Biotherapeutics Translational Pharmacology team to support our research programs. This position is primarily responsible for developing, optimizing and reporting out data for Bioanalytical assays for Antibody Drug Conjugates (ADC) to include ELISA, LC-MS and hybrid LC-MS techniques. This job will require the candidate to have excellent organization, communication, and teamwork skills, as well as flexibility and versatility, to meet tight deadlines in a dynamic, fast-moving environment. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Responsible for running analytical samples from nonclinical PK studies using ELISA, LC-MS and hybrid LC-MS techniques * Operation and troubleshooting of automated instrumentation * Collaborates with Biotherapeutics team members to support project advancement. * Maintains electronic laboratory notebook in a complete, consistent, and timely manner in accordance with company intellectual property policies and practices. * Prepares and organizes data for presentation. May present data and status reports at individual, group, and departmental research meetings under general supervision. * Adherence to excellent health and safety practices and compliance with applicable EH&S safety rules and participates in mandatory safety training programs. * Other responsibilities as assigned SUPERVISORY RESPONSIBILITIES: * No supervisory responsibilities EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: * Bachelor's degree in related discipline and a minimum of four years of related experience; or * Master's degree in related discipline and a minimum of two years of related experience; or, * Equivalent combination of education and experience. Experience: * Drug discovery experience is necessary with hands-on bioanalytical assay development with an excellent understanding of fundamental processes. * Experience with ELISA, LC-MS and Hybrid LC-MS is required * Experience using WinNonlin and PRISM applications are preferred. Knowledge/Skills: * Highly self-motivated with exceptional attention to detail is required. * Thorough knowledge of activities related to bioanalytical assay development and data generation * Excellent verbal and written communication skills with the ability to follow written instructions and SOPs. * Ability to multi-task and excellent time management skills. * Excellent work ethic, working effectively in both a team environment and independently. * Thorough proficiency in MS Word, MS PowerPoint and MS Excel is required. WORKING CONDITIONS: * Primarily working in laboratory and office environment. * Potential handling of hazardous materials, and brief periods of working in both 4°C and -20°C environments. * May be required to work weekends as needed. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organization Overview: At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. Lilly unites caring with discovery to create medicines that make life better for people around the world. Lilly is a fortune 500 company that has been in operation for over 140 years. We make medicine with safety first and quality always while living our company values of Integrity, Excellence, and Respect for People. Lilly is designing and building a new state of the art Parenteral, Device Assembly, and Packaging Facility located in Concord, North Carolina. This is an exciting opportunity to help build and operate a state-of-the-art manufacturing site and Quality System from the ground up. The Scientist within the Concord TS/MS Device Assembly process team is a position supporting the implementation of technical objectives through execution activities and partnership with the device assembly operations and engineering teams. This role will initially supplement the delivery of automated device assembly lines and serve as technical resource for internal parties. Upon the start of commercial production, this role's objectives include analyzing equipment/process data, monitoring production metrics, authoring and executing protocols, and serving as a technical asset for process improvement and root cause investigations. This role is expected to interface regularly with the device assembly operations and engineering teams in support of day-to-day operations. Responsibilities: * Support the Device Assembly Process Team as TS/MS representative. * Provide technical support to non-routine (e.g., deviation, complaint) investigations, including consultation on quality and stability issues. * Prepare and Review, as required, relevant technical documents, such as: Change Controls, Regulatory Submissions, Deviations, Validations, Protocols, Procedures, PFDs, pFEMAs, etc. * Identify opportunities and participate in projects to improve process control and/or productivity. * Provide technical support for non-routine (e.g., deviation, complaint) investigations, including consultation on quality and product impact. * Serve as floor-level support and technical interface for device components, equipment, and operations for the TS/MS team. Basic Requirements: * Bachelors or equivalent (Science or Engineering related degree preferred) Additional Preferences: * Pharmaceutical and/or medical device manufacturing experience * Root cause investigation experience * Proven ability to work independently or as part of a team to resolve an issue. * Strong attention to detail. * Proficiency with computer systems including Microsoft Office products, Veeva Vault, TrackWise, electronic batch records, and SAP. * Knowledge and understanding of manufacturing processes. * Strong interpersonal and teamwork skills * Strong self-management and organizational skills Additional Information: * Role is Monday through Friday. Must be flexible in providing support to accommodate other inputs (production schedules, shutdowns, etc.). Occasional extended hour and /or off-hour work may be required. * Position will be based out of Concord, NC site with ability to travel to Indianapolis and other global Lilly sites as required. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $66,000 - $171,600 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

💡 What if your next role let you design reinforcement learning systems that directly control real-world science -training agents that run experiments, tune physical tools, and accelerate discovery from months to days? 🚀 Our client - a hyper-talent-dense physical-AI startup backed by top-tier builders across frontier AI and deep tech - is hiring a Senior RL Research Scientist (San Francisco / Redwood City, In-Person). They're building Physical Superintelligence: AI that can ask any scientific question about the physical world and get a real answer in days, not years-by pairing large models with massive automated “experiment factories.” The role: 🎯 Own RL for real-world tool control and long-horizon workflows across biology, chemistry, materials, and robotics 🧪 Build RL environments grounded in physics, simulation, and digital twins-not toy benchmarks 🛡️ Design safe / constrained RL + verifier-integrated rewards to keep agents reliable in high-stakes domains 📈 Drive offline → online transitions and evaluation pipelines as agents learn from and act on real telemetry 🤝 Partner across LLM, agent systems, simulation, and physical-tooling teams to deploy policies into production workflows ⚙️ High-ownership algorithm + systems work where you shape the foundations of physical-AI autonomy Why join? 🌍 Work at the frontier of real-world impact-from multi-cancer early detection to general scientific discovery 🏭 Operate on a uniquely scaled platform: 20k+ sq ft automated facilities producing real experimental feedback loops 💰 Competitive salary + meaningful equity 🚀 Tiny, world-class team with a “best-person-you've-worked-with” talent bar 🏢 In-person, high-velocity environment with deep collaboration across SF + Redwood City 📩 Interested? Apply now

Senior RL Research Scientist / Reinforcement Learning Scientist Join a frontier AI team building systems that can act in the physical world, experimenting, optimizing, and controlling real processes through advanced ML, simulation, and automation. This group is pushing the boundaries of physical intelligence, backed by significant long-term funding and a mandate to invent from first principles. If you want to: Work on problems few teams in the world can touch Build RL systems that power real tools, workflows, and scientific processes Operate in a fast, high-ownership, deeply technical culture …this is the kind of role that defines a career. The Role You'll design and deploy reinforcement learning systems that control complex tools, optimize multi-step processes, and operate across high-fidelity simulations and digital twins. Expect hands-on research, real-world experimentation, and tight collaboration with teams across ML, simulation, and systems engineering. What You'll Do Build RL environments for tool control, workflow optimization, and long-horizon decision-making Develop safe and constrained RL methods, verifier-driven rewards, and offline to online training pipelines Create state/action representations and evaluation frameworks for reliable policy behavior Work with cross-functional researchers and engineers to deploy RL agents into real workflows What You Bring Strong background in RL, optimal control, or sequential decision-making Experience applying RL to complex simulated or physical systems Familiarity with safe/constrained RL, verifiers, or advanced evaluation pipelines Ability to design environments, rewards, and diagnostics at scale Comfort working across ML, simulation, and systems interfaces

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.

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

located in San Francisco, CA Responsibilities of the Scientist/Sr. Scientist-Stem Cell Biology/Embryology: Design and execute experiments in stem cell differentiation, organoid generation, and tissue engineering. Innovate then execute experiments to generate and differentiate human stem cells, develop functional assays, assess and interpret experimental workflows Perform mammalian embryo dissections, tissue isolations, and culture experiments to study and model developmental processes. Apply principles of developmental biology and embryology to guide tissue maturation and patterning. Collaborate with biomaterials and engineering teams to integrate cells and tissues. Develop and optimize protocols for reproducible tissue generation and maintenance. Test novel stem cell culture conditions, sort, screen, expand and differentiate hi PSCs according to latest protocols and newly developed approaches. Requirements of the Scientist/Sr. Scientist-Stem Cell Biology/Embryology: PhD in biological sciences, stem cell biology, genetics or related field. 2+ years hands-on expertise in stem cell culture (iPSCs/ESCs). Hands-on experience with mammalian embryos, including dissections and culture. Experience in molecular biology and strong problem solving skills.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.