Research internship jobs in Napa, CA - 1,670 jobs

A leading investment consulting firm in San Francisco seeks a hedge fund investment analyst to conduct research and monitor hedge fund performance. The candidate will collaborate with a team to provide insights into hedge fund strategies and assist in presentations to clients. An ideal candidate will possess a bachelor's degree in finance or a related field, along with two years of related experience. A commitment to strong communication and client relationships is essential. #J-18808-Ljbffr

A leading AI company in San Francisco is seeking a Robotics Researcher to contribute to applied research and ML pipeline development. The ideal candidate has a PhD in Machine Learning or Robotics and 3+ years of relevant experience, excelling in collaboration and communication. This full-time role offers a competitive salary range of $218,400 - $273,000 USD and equity options, along with comprehensive benefits. #J-18808-Ljbffr

A leading AI research organization is seeking a Research Engineer in San Francisco to drive innovations in decentralized AI. You will design and execute fine-tuning pipelines for large language models, conduct novel research, and collaborate with a global team. Ideal candidates will have strong experience in ML training and a passion for advancing decentralized AI ecosystems. The position offers opportunities to contribute to open-source projects and engage in meaningful AI research. #J-18808-Ljbffr

A leading AI research firm in San Francisco seeks a Research Engineer to develop reinforcement learning systems for virtual collaboration. The role involves designing training environments and collaborating with product teams. Candidates should have strong Python programming skills and experience in machine learning. This position offers competitive compensation, flexible hours, and a hybrid work model, emphasizing the importance of diverse perspectives in AI research. #J-18808-Ljbffr

Why Achira Join a world-class team of scientists, ML researchers, and engineers working together to make the physical microcosm predictable and reshape the future of drug discovery. Move beyond the beaten path: we are actively exploring the next frontier of model architectures for AI x chemistry. Operate at frontier scale: massive compute, massive data, and massive ambition. Own impactful work end-to-end: from ideation to architecture to deployment on large-scale infrastructure. Work in an environment that rewards rigor, speed, execution, and an ownership mindset. About the Role Achira is building best-in-class foundation models to solve the most challenging problems in simulation for drug discovery and beyond. Atomistic Foundation simulation models (FSMs) as world models of the physical microcosm span machine learning interaction potentials (MLIPs), neural network potentials (NNPs), and diverse classes of generative models. We're looking for an ML Research Engineer (MLRE) who thrives at the intersection of cutting‑edge machine learning and rigorous research workflows. You'll work hand‑in‑hand with our research scientists to design and scale intelligent training systems that move us beyond today's architectures and into the next era of ML‑driven molecular modeling. Your mandate is simple but ambitious: build the foundations for training atomistic simulation models at scale. This means diving deep into architecture, data, optimizers, losses, training metrics, and representation learning - all while building high‑performance systems that unlock the full potential of our models. In this role you will help invent the playbook for pretraining of FSMs akin to current generative AI large‑scale systems and help transform drug discovery. At Achira, you'll have the opportunity to pioneer models that understand and simulate the physical world at atomic resolution, with speed and fidelity never before seen. What You'll Do Scale FSM training: Own the development of next‑generation training pipelines for deep simulation models - bringing new ideas from concept to practice with an obsessive eye on fidelity, efficiency, and scale. Map strategy: Define and iterate on short‑, medium‑, and long‑term training strategies, tightly aligned with evolving research goals such as model distillation, uncertainty, and multi‑task learning. Engineer metrics: Build robust training diagnostics and interpretability tools to measure what matters and steer models toward better representations and outcomes. Debug at depth: Partner with researchers to diagnose training failures and design resilient, reproducible training workflows that scale across datasets and compute. Tune architectures: Understand model internals deeply enough to shape and adapt architectures for improved training dynamics, inductive biases, and downstream performance. Explore representations: Work with researchers to investigate representation learning in our unique domain space, including the potential for tokenization and embedding of novel molecular data. Automate Workflows: Utilize generative coding tools to accelerate your work and ultimately automate your workflows. About You You've been one or worked closely with ML researchers and understand how to turn scientific goals into engineering execution. You've designed training workflows that let researchers move fast, scaling up sweeps, tracking results, and digging into tricky failures. You care about the art of training: learning rates, batch norms, weight inits, optimizer schedules - and how they all interplay under the hood. You're fluent in PyTorch and comfortable working on distributed cloud setups, like multi‑node, multi‑GPU. Bonus if you've explored model compilation, acceleration, distillation. You're pragmatic about DevOps, maybe not a full‑time SWE, but you know your way around k8s, SLURM, or similar infra when needed. You're energized by uncharted problems and motivated to define new best practices in training world models for the physical microcosm. You have a sense of relentless urgency and are a natural collaborator who values team success. You want to work within a well‑funded, bold, talent‑dense organization to do your best work and focus on transformational impact against some of the world's hardest technical problems. Eligibility In compliance with United States federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to provide required employment eligibility verification documentation upon hire. #J-18808-Ljbffr

A pioneering engineering company in San Francisco is seeking talented research engineers to develop innovative parametric CAD tools. You will work on tasks such as generating CAD models from text and creating vector representations of 3D models. Ideal candidates possess strong backgrounds in algorithms and deep learning, and the ability to innovate. This role offers autonomy and the chance to be part of a passionate and creative team. #J-18808-Ljbffr

A forward-looking AI company based in San Francisco is seeking talented researchers and engineers to pioneer enhancements in self-improving artificial intelligence. This role requires proficiency in Python and deep learning frameworks, along with expertise in post-training techniques. The ideal candidate thrives in an agile environment. This position is in-person, five days a week, allowing for direct collaboration with a world-class team. #J-18808-Ljbffr

About DepthFirst AI We believe that software is the foundation of modern civilization - yet vulnerabilities threaten its integrity, security, and resilience. We are on a mission to solve security. DepthFirst is building intelligence to detect and remediate critical software vulnerabilities. We are training and scaling security AI agents to discover zero-days vulnerabilities, from large customer codebases to popular open source software. Our founding team includes expertise in security and LLMs (with technical leaders from DeepMind, Databricks, Square, and Faire). We are looking for strong technical people who are interested in working at the intersection of AI, Security and Infrastructure. About this role: We're seeking an experienced Research Engineer to join our effort in building and training AI agents for vulnerability discovery and exploitation. We are building a technology capable of finding the next Log4J at scale, finding and remediating vulnerabilities in customer and open source codebases. We are looking for strong engineers with strong intuition, experience in model evaluation and benchmarks. Reinforcement Learning experience is a plus. Your work will play a crucial role in building a product that aims to redefine how companies do security. You're excited about this role because you will… Build State-of-the-Art AI Agentic pipelines optimized for discovering intricate software vulnerabilities and generate exploits Design, Maintain and Evolve evaluation benchmarks for AI agents that reflects the problems our users face Design & Develop training procedures and reinforcement learning environments to train security coding agents Work on a Product that Solves a Critical Problem - and we already have a handful of customers who have found it valuable in fixing some eye‑opening vulnerabilities within the first few days of using our product. Qualifications 3+ years of full-time experience in AI research engineering in machine learning, deep learning, and/or natural language processing Experience with developing machine learning models at scale from inception to business impact Programming experience in Python and hands‑on experience with frameworks such as PyTorch A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience A love for technology, and an insatiable curiosity for new tools to tackle real problems Capable of solving complex problems with simple solutions. Building reliable and scalable products, making right trade‑offs along the way A tendency to leave things in a better way than you found it What We Offer Competitive Salary with generous equity Health and Dental Insurance Office lunch (when working from our San Francisco office) #J-18808-Ljbffr

A pioneering AI research firm in San Francisco is looking for a talented individual to design and implement scalable reinforcement learning recipes for cutting-edge models. The role involves developing various task-specific environments and conducting research to enable RL-as-a-service solutions. Ideal candidates will have a Bachelor's or Master's degree in Computer Science, experience with modern post-training techniques, and a rigorous approach to evaluations and engineering. This position offers high autonomy and the opportunity to be an early team member with equity potential. #J-18808-Ljbffr

Making the Metals Powering the World Solcoa exists to stabilize the western rare-earth metal supply chain-powering every fighter jet, EV, wind turbine, phone, and generator. We're among the very few companies outside China producing rare-earth metals-and the only one delivering a 100% U.S. supply of both light and heavy rare earths. Our carbon-zero process converts end-of-life magnets directly into metal, accelerating energy independence and securing one of the world's most vital resources. We are a lean, well-funded team rapidly accelerating Western rare-earth production. We're building a world-class team to solve this crisis. The Role - Research Engineer Own difficult, first-principles R&D that unlocks rare-earth metal production at scale. You will design and execute high-temperature experiments, build and operate custom rigs, extract mechanisms from data, and translate lab breakthroughs into reproducible unit operations for our demo plant. This role is deeply technical and experimental. Pyrometallurgical research: calcination, vacuum/steam distillation, carbothermic/metallothermic reduction, smelting, refining. High-temperature electrochemistry: molten-salt/molten-oxide electrolysis, cell design, anode/cathode materials, current efficiency. Nuclear engineering research: molten-salt chemistries, materials compatibility, graphite/refractory behavior, high-T gas-cooled systems. Metal processing engineering: molten metal handling/casting, powder metallurgy (atomization, pressing, sintering), heat treatment. What You'll Do Run bench/pilot experiments to quantify kinetics, transport, and equilibria. Build/operate furnace systems, vacuum/inert atmospheres, retorts/crucibles. Develop and validate PFD-level experimental flows; compute mass/energy balances; establish operating envelopes. Apply thermochemical modeling (CALPHAD/Thermo-Calc/FactSage/HSC) and phase diagrams to guide conditions and materials. Characterize feed/products with ICP-MS/OES, XRD, SEM/EDS, LECO O/N/H,; close element balances. Author rigorous documentation: SOPs, test plans, hazards analyses, data packages; present results with statistical confidence. Collaborate with machinists/technicians to fabricate fixtures; specify sensors, heaters, seals, and vacuum hardware. Enforce safety for molten metals, reactive powders, hot work, compressed gases, and magnetized materials. What You Bring Required Typically 3+ years (flexible) as a research engineer/assistant or PhD-level researcher with demonstrated research achievements (papers, patents, prototypes). Depth in at least one focus area above; strong foundation in thermodynamics, transport, reaction kinetics, and materials. Proven ability to build experimental setups, write/control test scripts, and produce decision-grade data. Hands‑on with furnaces, vacuum/inert gas systems, gloveboxes, and high‑T instrumentation; meticulous lab discipline. Data fluency (Python/MATLAB, spreadsheets); uncertainty analysis; clear, technical writing. Preferred Experience with rare-earth chemistry/metallurgy (Nd, Dy, Tb), chloride/fluoride molten salts, and contamination control. Corrosion/materials compatibility at high temperature; selection of refractories and crucible/alloy systems. Basic CAD (Fusion/SolidWorks) for fixtures; simple FEA/thermal modeling; familiarity with HAZOP/MOC culture. Compensation & Benefits Competitive base salary Comprehensive health, dental, and vision insurance Company‑provided lunch daily Visa sponsorship available if needed #J-18808-Ljbffr

A leading company in governance infrastructure is looking for an aMACI - Cryptographic Research Engineer in San Francisco. This role involves designing advanced cryptographic mechanisms for decentralized governance systems, particularly focusing on enhancing the MACI and aMACI protocols. Ideal candidates will have strong background in cryptography and programming experience in Rust, TypeScript, or Solidity. Join us to contribute to the evolution of autonomous, privacy-preserving organizations. #J-18808-Ljbffr

A pioneering AI biology firm in San Francisco is seeking an AI Engineer to develop next-generation AI models for drug discovery. You will collaborate with top talent and work on cutting-edge technology that aims to transform drug creation. Ideal candidates will have strong programming skills, experience with HPC infrastructure, and familiarity with deep learning libraries. This position offers a competitive salary, equity package, and a collaborative culture focused on impactful advancements in the healthcare field. #J-18808-Ljbffr

General Agents is an applied research lab exploring the frontiersof autonomous intelligence. Our mission is to liberate humanity from digital labor.We are a team of researchers, engineers, and operators with expertise in machinelearning, reinforcement learning, and large-scale data operations. We are building Ace , a realtime computer autopilot powered by our foundationvideo-language-action models trained on large-scale behavior data. Role Research Engineers develop and train large neural networks that power our products. You will engagewith all aspects of cutting-edge AI research and engineering, including developing novelvideo-language-action models, designing data pipelines, conducting experiments, evaluatingmodels, and enhancing our distributed training and inference infrastructure. You may be a fit if you have experience with Transformers and other sequence prediction architectures Large-scale reinforcement learning Applying Please send your resume and a brief paragraph (3-5 sentences) describing your proudest professionalachievement to ************************ . #J-18808-Ljbffr

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Research team As an audio data research company, we believe model capabilities come from high quality, differentiated data. David AI's research team performs ambitious, long-term research into audio capabilities, while working with internal and external stakeholders to productionalize the latest research insights. About this role As a Founding Audio AI Research Engineer, you'll define the research agenda that shapes how the world's best AI labs train their audio models. You'll have a world‑class workforce of human AI trainers, compute resources, and independence to drive your roadmap. In this role, you will Define and build comprehensive evaluation frameworks for audio AI capabilities across speech, emotion, conversation dynamics, and acoustic patterns. Research and prototype novel approaches to audio quality assessment, automated labeling, and data collection optimization. Design targeted data collection pipelines for novel, high-value audio capabilities Architect automated systems for continuous classifier improvement and prompt engineering evaluation. Evaluate frontier models and create actionable research directions. Publish findings and papers in top conferences. Your background looks like 3+ years of experience in AI/ML research or engineering, preferably with multimodal models Proven ability to translate research insights into production systems and scalable solutions. Experience with Python and PyTorchExperience designing and conducting rigorous ML experiments and evaluations. Bonus points if you have PhD or Masters in Computer Science or a related field with a focus on ML or audio/speech. Published research work in top‑tier CS, AI and/or audio‑related conferences. Strong record of publication in evaluations or data, particularly for audio/speech. Experience in large scale data processing or high performance computing. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr

A cutting-edge technology company in San Francisco is seeking a Research Engineer. The role involves working on post-training and RLVR, designing experiments, and improving large language models. Ideal candidates will have a strong applied research background, coding proficiency, and an understanding of data structures and algorithms. The position requires in-person attendance five days a week and offers unique benefits including equity grants, relocation bonuses, and meal stipends. #J-18808-Ljbffr

A leading AI research organization is seeking a Machine Learning Research Engineer in San Francisco, California. This role focuses on designing and optimizing AI models for large-scale multi-omics applications, driving critical advances in scientific understanding. The ideal candidate will have deep expertise in ML frameworks and experience deploying high-performance algorithms. Join a multidisciplinary team that is working on groundbreaking technology to protect the human brain. #J-18808-Ljbffr

We're assisting a profitable Enterprise AI Customer Support startup with their search for their first Machine Learning Research Engineer. In this position, you'll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. The role will be onsite in their office located in the Rincon Hill area of San Francisco. What you'll do: Develop models for customer support tasks that exceed the performance of closed source models Experiment with small open‑source models to drive order of magnitude reductions in latency across channels Break down ambiguous research ideas into clear, iterative milestones and roadmaps. What you'll bring: 3+ years of experience in AI/ML engineering or research. Proven track record of working on AI/ML projects from concept to production. Experience fine‑tuning and deploying LLMs in production environments. Prior experience working with multi‑modal models #J-18808-Ljbffr

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values-customers are everything, relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Team The Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon's AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision. Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues. About the Role On the Research team, you'll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We\'re looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents. Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen. In this role, you will Develop models for customer support tasks that exceed the performance of closed source models Experiment with small open-source models to drive order of magnitude reductions in latency across channels Break down ambiguous research ideas into clear, iterative milestones and roadmaps. Your background looks something like this 3+ years of experience in AI/ML engineering or research. Proven track record of working on AI/ML projects from concept to production. Experience fine-tuning and deploying LLMs in production environments. Prior experience working with multi-modal models Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $250K - $415K + Offers Equity #J-18808-Ljbffr

An innovative AI startup in San Francisco seeks a talented individual to join their team, focusing on developing personal AI models tailored to users' preferences. The ideal candidate will have a strong background in machine learning and experience with fine-tuning models. This role offers generous compensation, equity, and the opportunity to work at the forefront of AI development to ensure technology serves humanity's interests. #J-18808-Ljbffr