Research internship jobs in Livermore, CA - 3,662 jobs

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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

Employment Type Full time Department R&D AI Science Compensation IC4 Estimated salary commensurate with experience. $235K • Offers Equity IC5 Estimated salary commensurate with experience. $258K • Offers Equity Our Compensation Philosophy: Market-based: Our formula ensures new hires earn at or above real-time benchmarks. Ownership: Our generous equity program ensures new hires are owners, not just employees. Transparent: We openly discuss salary expectations to avoid surprises later in the process. Data-driven: We use objective data to remove bias and ensure consistency in compensation decisions. About Alembic Alembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place. At Alembic, we're not just building software-we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune 100 companies use to make multimillion-dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more. About the Role We're looking for an Applied Scientist who solves hard mathematical problems in marketing attribution through both algorithmic innovation and production-quality implementation. You'll design novel approaches to measurement challenges, implement them as production systems, and work directly with customers to ensure statistical rigor at enterprise scale. This role is ideal for someone who wants to apply deep technical expertise to real-world problems-shipping code that makes a difference, not just publishing papers. What You'll Do Design and implement novel approaches to marketing measurement problems, shipping working code Build production systems for causal inference that maintain statistical rigor at enterprise scale Develop algorithms that are both mathematically sound and computationally efficient Collaborate with customers to understand their measurement challenges and develop technical solutions Create tools and libraries that enable both internal teams and customers to leverage advanced analytics Document research and implementation decisions for reproducibility and knowledge transfer What Will Help You Succeed Applied Science & Engineering 5+ years developing and shipping research code in production environments Strong mathematical background - statistics, probability, optimization, causal inference Proficient Python developer - can write production-quality code, not just notebooks Causal inference expertise - practical experience applying causal methods to real problems Data-intensive systems - experience processing and analyzing large datasets Research to production - track record of turning research ideas into shipping features Communication skills - can explain complex technical concepts to varied audiences Domain & Advanced Skills MS or PhD with significant applied research experience Background in econometrics, statistics, or computational social science Experience in marketing analytics, A/B testing, or measurement domains Understanding of ML engineering and MLOps practices Ability to work directly with customers on technical problems Experience with both Bayesian and frequentist statistical methods Nice to Haves Published applied research or technical writing Experience in consulting or customer-facing technical roles Background in operations research or decision sciences Familiarity with GPU computing and performance optimization Understanding of privacy-preserving analytics and differential privacy Why You Might Be Excited About Alembic Hard problems with real impact: You'll tackle the hardest challenges in marketing analytics while building systems that influence multimillion-dollar decisions at Fortune 100 companies Technical autonomy: You want ownership over technical decisions and the freedom to solve complex problems your way Cutting-edge technology: Work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and the latest in data processing at scale Elite team: Join top engineers who thrive on challenging problems and high-impact work Startup upside: Early-stage equity opportunity with experienced leadership and proven product-market fit Why You Might Not Be Excited If you only want to tell people what to build instead of building and coding alongside them, we're not the environment for you You prefer company practices with 100% built-out process for every detail You prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and goals. Though we have real paying customers and a playbook for growth, we proudly remain an early-stage startup Compensation Range: $235K - $258K #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 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 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 tech innovation company in Mountain View, California, is seeking a Machine Learning Research Engineer. You'll design sophisticated robot learning algorithms to enhance dexterous manipulation in home environments. The role requires 3+ years in machine learning for robotics and proficiency with Python, particularly PyTorch. This is an opportunity to join a passionate team working at the forefront of robotics technology, ensuring personal robots are accessible for everyday households. #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 pioneering technology firm is looking for a high-performing individual to advance molecular machine learning using deep learning architectures. You will architect and integrate state-of-the-art models, optimize performance from code to hardware, and collaborate with scientists to develop innovations for drug discovery and material sciences. The role requires expertise in frameworks like PyTorch and JAX, deep understanding of GPU optimizations, and a passion for tackling challenging technical problems. #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

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 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

Dora Factory is building the next generation of governance infrastructure for decentralized and real-world communities. With advanced cryptographic stacks such as MACI (Minimal Anti-Collusion Infrastructure) and anonymous MACI (aMACI), Dora Factory is a leader in privacy-preserving, tamper-resistant voting technology. By pushing the boundaries of trustless, anonymous, and autonomous governance, we're not only creating infrastructure for communities of the future, but also building new platforms for world consciousness. About the Role An aMACI - Cryptographic Research Engineer to join our research engineer team focused on advancing the MACI, anonymous MACI, and other advanced governance protocols. You will be designing and engineering novel cryptographic mechanisms that are core to collusion resistance, anonymity, and censorship-resistance in decentralized governance systems and autonomous organizations. Your work will directly contribute to the evolution of autonomous, privacy-preserving organizations. Key Responsibilities Research and develop enhancements to the MACI and aMACI protocols, with a focus on scalability, anonymity, and verifiability. Implement and test advanced cryptographic primitives (e.g., ZK-SNARKs, FHE, threshold cryptography) in autonomous systems. Collaborate with protocol engineers and product teams to integrate cryptographic innovations into real-world deployments. Conduct threat modeling and security analysis to ensure robustness against collusion, bribery, and deanonymization. Optimize cryptographic circuits and improve gas efficiency for on-chain operations. Publish findings, write documentation, and contribute to open-source codebases supporting MACI/aMACI. Stay up to date on cutting-edge cryptographic research and bring best practices to the team. Required Qualifications Bachelor's, Master's, or Ph.D. in Cryptography, Foundation Computer Science, Applied Mathematics, or related fields. Experience working with libraries like Circom, Halo2, Arkworks, or gnark. Solid understanding of cryptographic protocols such as zero-knowledge proofs (e.g., SNARKs, STARKs), secure multi-party computation, and anonymous credentials. Experience implementing cryptographic systems in Rust, TypeScript, or Solidity. A strong understanding of privacy, identity, and governance challenges in decentralized systems. Preferred Qualifications Contributions to open-source cryptography repos or zero-knowledge proof systems. Prior experience with MACI or anonymous voting systems. Familiarity with Ethereum and layer-2 ecosystems, especially ZK-rollups. Familiarity with CosmosSDK and CosmosWasm. Publications or active participation in cryptography or blockchain research communities (e.g., IACR, ZK Summit, EthResearch). Familiarity with governance design, decentralized voting mechanisms, and DAOs. #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 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 pioneering AI research firm in San Francisco seeks a skilled professional to design and implement foundational AI models for multi-omics at a large scale. The role involves developing ML algorithms, optimizing performance, and creating data processing workflows, thus contributing to transformative applications in medicine and biology. Ideal candidates will have strong backgrounds in machine learning, distributed computing, and teamwork, thriving in an innovative environment focused on making a significant impact in health and research. #J-18808-Ljbffr