Research and development engineer jobs in Berkeley, CA - 10,226 jobs

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting‑edge AI models. Our work spans system software, networking, platform architecture, fleet‑level monitoring, and performance optimization. As part of the Stargate initiative, the Industrial Compute team's mission is to build and operate the foundation that powers our research and products. To deliver on this mission, there is a critical need for advanced lab infrastructure and capabilities to perform rapid prototyping, targeted and end‑to‑end testing, and system qualification across the full software and hardware stack to ensure readiness and stability for fast and smooth deployment of our large‑scale clusters. About the Role We are seeking an experienced engineer to lead advanced R&D, rapid prototyping, and build‑out of in‑house lab infrastructure to support system bring‑up, testing, and qualification for next‑generation systems. In this role, you will: You will work closely with the research, fleet, silicon, hardware health, and external vendors and partners to accelerate system qualification, increase deployment velocity, and improve platform and fleet robustness at scale. You will focus on detailed evaluation and systematic testing of early hardware, including servers, racks, NICs, switches, chips, optics, transceivers, and other lab prototype equipment. Your engineering work will span a broad range of software (systems, firmware, RDMA, collectives, cluster provisioning, orchestration, etc.) and/or hardware solutions (e.g., FPGA development) to manage lab infrastructure, support bring‑up activities and perform extensive characterizations of new hardware through microbenchmarking, fault injection, impairment modelling, localized stress testing, and end‑to‑end evaluations. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Bachelor's Degree in Computer Science or a related field Strong background in system architecture, large‑scale distributed systems and AI/HPC networking expertise (high performance multipath transport protocols, RDMA, RoCE, Infiniband) 5+ years of software development experience in C/C++ and Python Experience developing and running large‑scale distributed AI workloads Hands‑on lab experience with datacenter hardware (racks, servers, switches, NICs, accelerators, etc.) Experience with low‑level software and/or FPGA hardware development (e.g., firmware or RTL) 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. #J-18808-Ljbffr

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page. Optical Engineer Responsibilities: Collaborate with Meta engineers on the next generation optical communication technology with a particular focus on the testing of optical modules and subsystems for Data Center applications. Work in a collaborative environment across Meta teams including SW, Thermal, Mechanical, and EE. Develop test and simulation methodologies relevant for next-generation, high-speed optical technologies. Develop automation practices and solutions for lab testing. Lead new optical communication NPI programs, working closely with optics vendors and ODMs. Interface with the industry and contribute to the RFI/RFP process for optical solutions. Communicate complex optical hardware requirements to non-experts both internally and to industry-facing stakeholders. Minimum Qualifications: Master's degree (or foreign degree equivalent) in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, or a related field and 3 years of experience in the job offered or in a computer-related occupation Requires 3 years of experience in the following: Imaging optics for both photographic and computer vision applications Both sequential and non-sequential optical design software (e.g. Zemax, Code V, LightTools, FRED and/or ASAP) Image quality evaluation, imaging sensor operation and characterization, stray light modeling and analysis, camera module or lens testing and characterization, imaging and illumination optics design and manufacturing Theoretical analysis using MATLAB, Python or similar programs Statistical analysis using MATLAB Public Compensation: $181,390/year to $189,200/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. #J-18808-Ljbffr

About Commonwealth Fusion Systems: Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy. Combining decades of research, top talent, and new technologies, we're designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future. We're in the best position to make it happen. Since 2018, we've raised nearly $3 billion in capital, making us the largest and leading private fusion company in the world. Now we're looking for more thinkers, doers, builders, and makers to join us. People who'll bring new perspectives, solve tough problems, and thrive as part of a team. If that's you and this role fits, we want to hear from you. Principal Mechanical Engineer We're looking for a Principal Mechanical Engineer to join our R&D and equipment design team to help build the next generation of thin‑film deposition technology. The Principal Mechanical Engineer will be responsible for the design and implementation of advanced R&D equipment and complex machinery. This role requires strong technical expertise, procedural discipline, and the ability to collaborate across engineering and technology functions to ensure safe, reliable, and high‑performance equipment. If you enjoy working on complex design problems, mentoring others, and solving problems in a collaborative, fast‑paced environment, this is your opportunity to make an impact. What you'll do: Lead the design and implementation of advanced R&D equipment for thin‑film processing, including ownership of key mechanical modules and sub‑systems Define system level requirements and drive innovative design concepts to meet these requirements Lead design reviews for overall mechanical system and key mechanical subsystems Generate and maintain interfaces with other engineering subsystems Report on and be accountable for project progress to stakeholders Work effectively within a multi‑disciplinary team of top scientists and engineers Mentor engineering staff for effectiveness and delivery of on‑time & in‑spec outcomes Get things done: drive projects, consistently deliver, act with speed What we're looking for: Master's degree in Mechanical Engineering or related field (or equivalent industrial experience) 15+ years of experience with at least 7 years of experience working as a principal mechanical design engineer or engineering team lead in a relevant context: design and implementation of R&D systems and manufacturing equipment Ability to conceive of novel solutions for complex engineering systems in challenging environments Expertise with 3D modeling; preferred experience with SolidWorks and NX Experience with COMSOL, ANSYS or other FEA tools Ability to select and qualify vendors for components or subsystems Demonstrated ability to lead in either direct or matrix structures Strong verbal and written communication skills and a dedication to high‑quality documentation Bonus points for: Ph.D. in Mechanical Engineering or related field (or equivalent industrial experience) Prior success building first‑of‑kind or experimental tools for material science or semiconductor R&D Familiarity in applying Semi‑S8, ASME, ACI, ASTM, and other mechanical standards to design solutions Experience with the operation of equipment in a manufacturing environment Must‑have Requirements: Ability to occasionally lift up to 50 lbs Perform activities such as stooping, climbing, standing, or sitting for extended periods of time Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics Willingness to travel or work required nights/weekends/on‑call occasionally $150,000 - $225,000 a year Benefits Competitive compensation with equity 12.5 Company‑wide Holidays Flexible vacation days 10 sick days Generous parental leave policy Health, dental, and vision insurance 401(k) with employer matching Professional growth opportunities Team‑building activities #LI‑Onsite At CFS, we excel in fast‑paced environments, driven by our values of integrity, execution, impact, and self‑critique. As we grow, we're eager to bring on mission‑driven folks who offer diverse perspectives and fresh ways to tackle challenges. We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law. This role requires compliance with U.S. laws concerning the export of controlled or protected technologies or information (collectively, “Export Control Laws #J-18808-Ljbffr

A cutting-edge AI lab in San Francisco is seeking experienced end-to-end engineers to join their small, talent-dense team. The role involves building innovative software products, enhancing user experiences, and collaborating closely with product teams. Ideal candidates should have experience with Python, Typescript, and React. Strong achievers who thrive in fast-moving environments are encouraged to apply. #J-18808-Ljbffr

A leading AI technology firm in San Francisco seeks an ML Sys Research Engineer to optimize algorithms for their next-generation Agent RL training platform. The role involves building and profiling frameworks, post-training state-of-the-art models, and collaborating with teams. Ideal candidates should have LLM training experience, strong software engineering skills, and a relevant advanced degree. Competitive compensation and benefits package offered. #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