121 research engineer intern jobs at 31 companies in Martinez, CA
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Research Engineer Intern
San Francisco, California, United States
$10k-$19k/yrOnsiteInternship, Full Time
Center for AI Safety: Conducts research and advocacy to mitigate AI risks.
Must be a current university student, have empirical ML research experience and at least one top‑venue publication or equivalent contributions, able to run and debug ML experiments, and familiar with PyTorch.
Research Engineer Intern (Agentic Systems & AI Infrastructure - TikTok-Generalized Arch) - 2027 Start (PhD)
San Jose, California, United States
OnsiteInternship
TikTok: Global short-form video hosting and social media platform.
PhD student or recent PhD with research/engineering experience in AI agents, LLM reasoning, RL, or AI for code; strong programming in Python/C++/Go/Java; experimental design and evaluation skills; ability to collaborate across teams; must be authorized to work in the US.
Gridmatic: AI-powered platform for optimizing energy trading and battery storage.
Enrolled MS or PhD student in EE or Energy Systems; coursework in unit commitment/economic dispatch/OPF; familiarity with power flow and network modeling; Python programming; comfort with linear and MILP optimization.
ByteDance: Developing AI-driven content platforms and mobile applications.
Currently pursuing a PhD in computer science, computer engineering, or related discipline; proficiency in Go, C++, or Python; distributed software development ability; networking research experience preferred.
Research Engineer (PhD) - Database Internals / Special Projects
San Francisco or United States
$10k-$20k/moHybridFull Time
Hotdata: Building agent-native data infrastructure for AI applications.
PhD in CS/Distributed Systems/Databases; strong systems programming in Rust/C++; experience with query engines, distributed systems, storage engines; research and prototyping.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
Pursuing an MS or PhD in Computer Science or Electrical Engineering; strong Python, deep learning for NLP knowledge; experience with PyTorch or JAX; ability to run and manage large experiments.
PhD in robotics/computer science/electrical engineering, research experience in motion or behavioral planning, publications in top conferences, hands-on C++ experience, strong analytical and communication skills.
Santa Clara or Japan or United Kingdom or China or United States
RemoteFull Time, Internship
AESC: Manufactures lithium-ion batteries for electric vehicles and energy storage.
Master's preferred (or Bachelor's with strong research); background in renewable energy, materials science, chemistry, electrical or systems engineering; understanding of energy storage architecture; AutoCAD and Microsoft Office proficiency; Python a plus; strong communication and analytical skills.
AutoCAD, Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Python
Intern, Optical Packaging and Characterization Engineer
Milpitas, California, United States
OnsiteInternship
PsiQuantum: Builds fault-tolerant quantum computers using silicon photonics technology.
Pursuing or recently completed bachelor’s in Optics/Optical Engineering/Photonics/Physics; experience with optical microscopy, image processing or Python; strong attention to detail and collaborative lab work.
Pro Farm Group: Develops biological crop protection and plant health solutions for agriculture.
College student (biology, biotechnology, chemical engineering or related) with ability to perform lab housekeeping, prepare media, maintain inventory, perform measurements, and work flexible hours.
Periodic Labs: Builds autonomous laboratories for AI-driven scientific discovery.
Pursuing or recently completed a Bachelor’s, Master’s, or PhD in engineering or related field; hands-on cleanroom/nanofabrication experience; exposure to lithography, deposition, and etch; comfortable in shared facilities; strong documentation.
Intern Yr Rnd - R&D Grad -- ML-based Materials Discovery, Remote
Livermore or United States or California or United States
RemoteInternship
Sandia National Laboratories: Federal research and development laboratory for national security.
Earned bachelor's degree, full-time enrollment in an accredited science, engineering, or math graduate program, 3.0 GPA, U.S. citizenship, security-clearance eligibility, and availability for up to 30 academic-year or 40 summer hours weekly.
DataRobot: Provides an enterprise platform for building and governing AI.
Pursuing or recently completed BS/MS in CS/data science/engineering; proficiency in Python (pandas,numpy); foundational ML knowledge; strong communication and autonomy; passion for autonomous agents.
Intern Yr Rnd - R&D Grad -- ML-based Materials Discovery, Remote
Livermore, California, United States
RemoteMultiple Commitments Available
Sandia National Laboratories: Conducts science and engineering research for national security.
Ph.D. student in science, engineering, or mathematics with a bachelor's degree, 3.0 GPA, U.S. citizenship, security-clearance eligibility, and machine learning or materials simulation experience.
Computational Engineering Division Graduate Intern - Fall 2026
Livermore, California, United States
$10k/moHybridInternship, Temporary
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Graduate student or bachelor’s/master’s graduate with computational science, mathematical optimization, research, communication, and teamwork skills; experience with aerothermal modeling and chemical kinetics required.
First SolarNASDAQ: FSLR: Designs and manufactures thin-film photovoltaic solar modules.
Undergraduate junior+ in Chemical Engineering or Chemistry, proficiency with Microsoft Office, basic lab and troubleshooting skills, ability to follow SOPs and communicate effectively.
Microsoft Excel, Microsoft PowerPoint, Microsoft Word, UV-Vis, AFM, SEM, SIMS, XRD, XRR, ellipsometry
Member of Technical Staff — ML Research, Interpretability
San Francisco, California, United States
OnsiteFull Time
Causal Labs: Building physics-based causal AI models for predictive weather intelligence.
Experience in machine learning and neural network internals, interest or experience in interpretability and representation analysis, strong engineering skills, and a hypothesis-driven research approach.