Research internship jobs in San Jose, CA - 3,632 jobs

A leading AI research company in San Francisco is hiring for a position on their Audio team. The role involves developing and training advanced audio models, optimizing performance, and working collaboratively across teams. Ideal candidates will have strong expertise in JAX or PyTorch, a background in audio machine learning, and a passion for creating safe, reliable AI systems. The compensation ranges from $350,000 to $500,000, and the position offers flexible working hours and a supportive team environment. #J-18808-Ljbffr

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

Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #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 tech company invites applications for a Machine Learning Engineer to advance AI research in California. The role focuses on Generative AI and requires a PhD or Master's degree, with a minimum of 3 publications in AI. The candidate will collaborate across teams and publish findings, contributing to networking solutions and AI innovations. This full-time position offers a competitive salary and benefits, fostering an inclusive workplace culture. #J-18808-Ljbffr

A cutting-edge robotics company in Palo Alto is seeking an engineer to develop advanced humanoid technologies. The role involves research, design, and prototyping critical components of robots. Candidates should have strong engineering principles and a background in Mechanical or Electrical Engineering. This position requires in-person collaboration to foster innovation. Competitive compensation and inclusive work culture are offered. #J-18808-Ljbffr

A technology firm specializing in integrated task systems seeks a Machine Learning Researcher / ML-Ops Engineer to advance computer vision and sensor fusion capabilities. The role involves implementing machine learning pipelines and optimizing models for deployment. Candidates should have a strong Python background and experience in deep learning frameworks like PyTorch and TensorFlow. This position in Palo Alto, California, offers competitive compensation and a collaborative work environment. #J-18808-Ljbffr

A leading AI research firm in San Francisco is seeking a Research Engineer on Alignment Science to contribute to experimental research on AI safety. You will design and run machine learning experiments while collaborating with other teams. Candidates should have software engineering experience and an interest in the impacts of AI. The role offers competitive compensation with annual salary ranging between $315,000 and $340,000, alongside generous benefits and flexible working hours. #J-18808-Ljbffr

The role We're driving a fundamental paradigm shift: malleable data spaces that adapt on-the-fly for optimal performance. Our obsession with efficiency enables real-time AI evolution through adaptable data and algorithms. We treat data as a first-class citizen, prioritizing algorithms that enhance data quality for modeling the world. From senior leaders to new hires, everyone inspects data at every stage and understands exactly which datasets power our algorithms. Responsibilities Innovation: lead focused bets on data adaptation by developing algorithmic recipes that dramatically improve data quality, downstream performance, and efficiency. Research & Development: explore new directions in data adaptation across modalities and lifecycle stages, bridging cutting-edge AI research with practical applications in real-time intelligence. Hands-on Impact: shape the data landscape for intelligent, adaptable AI agents by guiding Adaption's data strategy and creatively solving novel challenges in data, interaction, and evaluation. Qualifications Deep expertise in at least one area: model efficiency, distributed systems, hardware acceleration, or algorithmic optimization Systems thinking ability to understand and optimize across the full ML stack Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow) Knowledge of model optimization techniques (RLHF, finetuning) Experience in an industry lab with computing at scale and/or fast-paced startup environment Nice to have: PhD in computer science, and experience with algorithm design Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box. Flexible work In-person collaboration in the Bay Area, a distributed global-first team, and quarterly offsites. Adaption Passport Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons. Lunch Stipend Weekly meal allowance for take-out or grocery delivery. Well-Being Comprehensive medical benefits and generous paid time off. #J-18808-Ljbffr

A mission-driven AI research company is seeking a Research Engineer to bridge theoretical AI safety research with practical implementation. In this role, you will build critical infrastructure and conduct experiments on frontier AI models, making a significant impact on the future of AI safety. Ideal candidates will have 4-6 years of experience in software or ML engineering, strong Python skills, and familiarity with AI safety concepts. This position is located in San Francisco, offering a unique professional opportunity. #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking candidates to develop AI agents for code review. The role requires strong programming skills and a background in computer science. Successful applicants will experiment with cutting-edge AI technology to enhance product performance and efficiency. This position offers the opportunity to work with an innovative team and address complex coding standards. #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 a rare individual who thrives at the intersection of cutting-edge deep learning architectures and high-performance computing. You will help shape the future of molecular machine learning by engineering high-efficiency implementations of advanced architectures for molecular densities, graph neural networks (GNNs) and beyond - pushing past the limits of what's currently possible with today's hardware. Foundation simulation models hold immense promise in material sciences and drug discovery, but remain underutilized. At Achira, you'll have the opportunity to change that - enabling models that understand and simulate the physical world at atomic resolution, with speed and fidelity never before seen. What You'll Do Architect & Integrate: Implement state-of-the-art Graph Transformers, GNNs, and similar geometric deep learning architectures into production-ready pipelines. Optimize Deeply: Drive end-to-end performance - from high-level implementations in PyTorch / JAX down to hand-tuned CUDA kernels - to extract maximum throughput, minimize memory footprints, and optimize GPU compute bubbles. Scale Intelligently: Help scale training and inference workloads across thousands (and eventually tens of thousands) of GPUs, maximizing FLOPs, saturating caches, and pushing hardware to its limits. Collaborate Closely: Work alongside scientists and ML researchers to identify, evaluate, and develop novel architectures with superior inductive biases for molecular modeling. Simulate Precisely: Hone our models to simulate molecular systems with unprecedented speed and accuracy - enabling breakthroughs in drug design, protein modeling, and beyond. Automate Workflows: Utilize generative coding tools to accelerate your work and ultimately automate your optimization workflows About You You're equally excited writing PyTorch / JAX prototype code or tuning custom CUDA kernels for warp-level parallelism. You have strong opinions about cache hierarchies, tensor fusion, memory-bound vs compute-bound workloads - and know when to profile rather than guess. You're energized by new architectures in the GNN and equivariance space, but never let the code get sloppy - you build for reusability, clarity, and scale. You're curious about bleeding-edge as well as established technologies like Triton, TensorRT, TorchInductor, and NVIDIA Warp, and not afraid to dive in and try them out. You believe performance is a feature - and love seeing models train and infer faster. 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

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 AI security firm based in San Francisco is seeking an experienced Research Engineer to build and train AI agents focused on discovering software vulnerabilities. The ideal candidate will have over 3 years of experience in AI research, expertise in Python, and a background in machine learning. Join us to help redefine how companies handle security with groundbreaking AI solutions. Competitive salary and equity offered. #J-18808-Ljbffr

At Camfer, our research engineers are training models to intelligently interpret and edit parametric CAD designs in 3D space. This is a cutting-edge challenge that requires innovative problem-solving and creative approaches to tackle complex, highly-technical problems. In the near term you may be building: custom models to generate parametric CAD models from text, efficient vector representations of 3D models, evals to measure performance of generations in 3D space, or RL frameworks to train agents. We are looking for people who: Have a strong fundamental background in algorithms and deep learning Can do true innovation, working on novel approaches and synthesizing improvements from a broad range of sources Are high agency and capable of solving problems end-to-end At Camfer, you will be given the autonomy to do some of the best work of your life. About us At Camfer, we're building the world's first AI mechanical engineer. Our mission is to accelerate engineering. We want to eliminate the buffer between imagination and reality, while also making CAD more accessible to everyone. Our first step is creating a tool that allows engineers to use text, images, and mechanical drawings to generate feature-rich CAD models directly in their favorite platforms. As an applied research lab, we bridge the gap between theory and practical applications; there is no shortage of ideas on agents, but at Camfer, we actually execute. We want Camfer to be the place where everyone does the best work of their career. We're building a flat and talent dense organization. The type of people we want to add to our team are passionate, creative, curious, and truth-seeking. We enjoy multi-disciplinary deep thinking, questioning assumptions, empirically-driven research, high-conviction bets, spirited debate, and having fun! We're a small team of software devs and researchers who have a love for CAD and design. Our founders are FRC world champions, UC Berkeley alumni / researchers, UC Riverside dropouts, ex-AWS, and ex-Meta. We started building Camfer just five months ago. Since then we finished YC, built a SOTA text-to-cad tool, won YC's internal demo day, and won OpenAI's o1 hackathon . We've raised $4.8M, our investors include Y Combinator, Next47, Bloomberg Beta, Octave Fund, and the founders of Dropbox and Airtable. We're in-person in SF. We have an espresso machine, whiteboards galore, a fully stocked fridge, a private patio overlooking FiDi, and lots of natural light! Applying To apply, please go to Bookface or email your resume, personal website / Linkedin, and a short note on a project or something you're proud of to ***************** . The founders (human beings not bots) will review every application! If there appears to be a fit, we'll reach out to schedule personal / technical interviews. Our final step is coming to our office for a work trial (paid), where you'll work with us for a block of time and dive deep with the team. #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 tech startup specializing in AI seeks a Founding Research Engineer to train large language models and develop novel methods for agentic training. This position demands expertise in ML frameworks like PyTorch and experience in reinforcement learning environments. Located in the vibrant Design District of San Francisco, the role offers generous benefits and the opportunity to work with a talented team. Visa sponsorship is available. #J-18808-Ljbffr

Solving Self-Improving Superintelligence The human brain is a sponge. Today's AI brains are brittle and rigid. At Letta, we're building self-improving artificial intelligence: creating agents that continually learn from experience and adapt over time. Founded by the creators of MemGPT from UC Berkeley's Sky Computing Lab (the birthplace of Spark and Ray). Backed by Jeff Dean, Clem Delangue, and pioneers across AI infrastructure. Our agents already power production systems at companies like 11x and Bilt Rewards, learning and improving every day. We're assembling a world-class team of researchers and engineers to solve AI's hardest problem: making machines that can reason, remember, and learn the way humans do. Note that this role is in-person (no hybrid), 5 days a week in downtown San Francisco. Your role You will pioneer post-training techniques that improve how well LLMs can be integrated into complete agentic systems. At Letta, you'll work with a world-class, tight-knit team of AI researchers and engineers towards our vision of self-improving superintelligence. Advance the field through open publishing of research through papers, technical reports, blog posts, and open-source code. What You're Responsible For: Training models for better agentic tool-use, particularly for context management Designing mechanisms for continuous model weight updates post-deployment without catastrophic forgetting Designing and run experiments to improve understanding of the interplay between data mixtures, training algorithms, and models Building infrastructure for generating and collecting synthetic data at scale Building challenging evals for measuring agentic capabilities What We're Looking For: Proficiency in python and deep learning frameworks eg. PyTorch Expertise in post-training techniques e.g. SFT fine-tuning, reinforcement learning, reward models, preference learning Ability to balance execution speed with empirical rigor Proven track record of impactful research (breakthrough publications and/or open-source contributions) Real-world impact beyond pure academic work Our culture Signs it could be a great fit: You want to maximize your impact: you want work on a small, incredibly talented team where every individual plays a huge role in the team's success. You wonder what it would have been like to be at OpenAI when it was just a dozen people, or Google when it was just a couple of grad students in a garage. You're excited to go head-to-head with tech giants, frontier labs, and other startups that are many times our size in both headcount and funding. You are fundamentally opposed to closed frontier AI that is controlled by a handful of billionaires and private tech companies. Signs it's a bad fit: You like stability, and get stressed out when there's nobody telling you exactly what to do. We look for people that thrive in ambiguity and can intuit the most important problems by talking to customers and dogfooding our product. You want to work a 9-5, and value clear separation of work from life. The stakes are the highest they've ever been, and the only moat is execution velocity. Operating on a strict 9-5 guarantees failure. You value titles or want to people-manage. Letta is a flat company where every researcher and engineer is an individual contributor. Our Interview Process: Initial screen (30 min) Technical screen (1-1.5 hours) Paid in-person work trial (2 days onsite in SF) #J-18808-Ljbffr

Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text-1B text tokens, 10B audio tokens and 1T video tokens-let alone do this on-device. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large‑scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design‑minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. About The Role To build truly global AI, our models must be trained on data that reflects the world's diversity of languages and cultures. We are searching for a Machine Learning Engineer to own the quality and coverage of the data behind our models. You will be our in‑house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale. Your Impact Design and build large‑scale datasets for model training. Build evaluations of speech models, both via manual annotation and at scale with automated metrics. Implement techniques for steering data generation to improve model intelligence through data and mitigate bias. Build automated quality control systems to validate and filter generated data. Partner with product teams to ensure support for key languages and markets. What You Bring Experience building or working with large multilingual datasets. Experience with generative models (speech, text, or multimodal). Ability to help guide human annotation and evaluation across multiple languages. Strong applied ML background with a focus on data‑centric approaches. Excitement for building scalable systems that bridge research and production. What We Offer 🍽 Lunch, dinner and snacks at the office. 🏥 Fully covered medical, dental, and vision insurance for employees. 🏦 401(k). ✈️ Relocation and immigration support. 🦖 Your own personal Yoshi. Our Culture 🏢 We're an in‑person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that's focused on giving everyone the resources they need to succeed. #J-18808-Ljbffr