Research internship jobs in Union City, CA - 1,900 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

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

Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you. What to Expect In building robots for the home, we are tackling a true grand challenge in robotics: dexterous and safe mobile manipulation in unstructured environments. To make this possible, we are building across the entire robotics stack. We're training state-of-the-art AI models that leverage our large-scale, high-quality, real-world data collection system. At the same time, we're building a new kind of consumer hardware product, which will be deployed into homes and delivering real value for real customers. As an early member of a small, cross-functional team, you'll play a key role in pushing both our technology and product forward: advancing the frontier of embodied AI, and soon giving countless hours back to our customers so they can spend more time on the things they value most. As a Machine Learning Research Engineer, you will work on the software and algorithms that enable our robots to complete dexterous manipulation tasks in home environments. You will leverage our unique large-scale in-the-wild data collection operation and our growing robot fleet to continuously add new behaviors and improve robustness across tasks and environments. What You'll Do Design and develop state-of-the-art robot learning algorithms for manipulation and controls Leverage large-scale in-the-wild data collection to develop generalizable robot behaviors Own the end-to-end loop from task definition and data curation to model training, evaluation, and on-robot deployment Collaborate closely with a full-stack robotics team to develop a consumer personal robot Write maintainable, production quality code for research and deployment What You'll Bring 3+ years (or equivalent) working on machine learning for robotics, controls, or perception Proficiency with Python and any deep learning framework (PyTorch preferred) Hands-on experience with robot learning for real-world tasks, including offline/online training and evaluation Implement tooling for visualization, debugging, and evaluation of data and learning pipelines Communicates clearly and collaborates effectively, thriving in fast-moving, cross-functional teams Nice to Have Familiarity with classical robotics fundamentals (e.g. controls, planning, state estimation) Comfortable profiling and optimizing for latency, memory, and compute on edge devices Experience with large-scale model training pipelines (LLM/VLM/VLA) At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent. #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

A leading AI research company in San Francisco seeks a talented architecture team member to enhance its flagship models. Ideal candidates will have a strong understanding of LLM architectures and experience with deep learning. The role offers a hybrid work model of 3 days in the office, alongside relocation assistance. This position presents an exciting opportunity to contribute to groundbreaking AI advancements. #J-18808-Ljbffr

A blockchain company in San Francisco is seeking a candidate to innovate the Tempo protocol and collaborate with industry experts. The ideal applicant will possess substantial experience in protocol research, particularly regarding consensus and scaling, as well as strong abilities in Solidity. This role emphasizes the design of new features while addressing privacy and efficiency, contributing to the evolution of payment solutions in the crypto space. #J-18808-Ljbffr

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A leading AI research firm in San Francisco seeks a Research Engineer to evaluate model capabilities in finance. The candidate should possess strong analytical skills, be detail-oriented, and thrive in a dynamic environment. Responsibilities include identifying significant financial workflows and refining AI evaluations. A passion for AGI/ASI measurement and proficiency in Excel are essential. Join us to contribute to advancing AI technology responsibly. #J-18808-Ljbffr

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe's experience in global payments and Paradigm's expertise in crypto tech. Tempo's payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century. We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more. We're a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. Our team primarily works in-person out of our San Francisco and NYC offices. We like to move fast and swing for the fences - join us! The Role This person would work closely with researchers at Tempo, Paradigm, Stripe, and our design partners to invent the future of the Tempo protocol. Responsibilities Design new protocol-level features to solve problems like privacy, capital efficiency, and scaling Pressure-test ideas with the rest of the team and the community Prototype reference implementation into new features and ship into production Explain novel inventions to users, partners, and the world Qualifications Experience with protocol research on topics like consensus, scaling, cryptography, liquidity, and MEV Demonstrated experience shipping production-level features for DEXs, L1s, L2s, or other onchain products. Ability to write, test, and optimize Solidity code. Deep understanding of EVM blockchains, including features like account abstraction and gas metering Interest in using crypto to solve real-world problems around payments Attributes Razor-sharp thinker with precise command of language Concise, evidence-based storytelling ability Excellent organizational and logistical skills Intense curiosity and open-mindedness Scrappiness; willingness to roll up sleeves Growth mindset #J-18808-Ljbffr

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An established industry player is seeking innovative Research Engineers to enhance AI safety and reliability. In this pivotal role, you will design and implement cutting-edge machine learning models, ensuring they align with human values and safety standards. Collaborating with a diverse team of experts, you'll tackle complex challenges and optimize AI systems for real-world deployment. This is your chance to make a meaningful impact on how AI benefits society while staying at the forefront of technological advancements. If you're passionate about AI safety and eager to contribute to transformative projects, this opportunity is for you. #J-18808-Ljbffr