Top Internships in San Francisco Bay Area, CA

Analyze autonomous vehicle, fleet, and business data to develop metrics, evaluate model and simulation performance, identify behavioral patterns, and support data-driven decisions. Projects may include drift monitoring, automated retraining, predictive modeling, similarity search, and statistical testing. The intern will use Python and SQL, apply machine learning and analytical methods, collaborate with simulation and autonomy teams, and communicate findings to varied audiences.

Analyze autonomous vehicle fleet safety data, incident logs, telemetry, simulation results, and operational metrics. Support benchmarking against industry and regulatory standards, build automated data pipelines and dashboards, validate data integrity, and communicate insights to safety, engineering, systems integration, and fleet operations teams. The internship requires a full-time 12-week commitment and relocation to the Bay Area.

Supports Zoox’s autonomous fleet infrastructure operations by improving vehicle parking capacity, assessing depot readiness across vehicle platforms, developing adverse-weather return-to-base plans, and evaluating future charging, inspection, and site infrastructure needs. The intern will coordinate with operations, facilities, engineering, security, legal, and external partners while building analyses, models, dashboards, and infrastructure roadmaps.

Analyze depot and fleet-readiness workflows, identify bottlenecks, standardize operating procedures, and develop scalable launch playbooks. The intern will audit operational metrics, build scorecards and dashboards, conduct root-cause analysis, and drive data-backed process improvement initiatives with frontline teams and leadership across Zoox depots.

Applies AI and machine learning techniques to product specifications, recommendations, and agentic workflows. Responsibilities include prototyping, evaluating, and iterating on models and AI-powered customer features; analyzing structured and unstructured data; translating customer problems into technical approaches; and documenting results. The intern collaborates with Applied AI Engineers, Product Managers, and Engineering while gaining experience shipping practical AI systems.

Conduct quantitative UX research using surveys, statistical modeling, and log analysis to understand user attitudes and behavior. Translate findings into compelling insights that inform Pinterest’s product roadmap and business decisions. Collaborate with product managers, engineers, designers, data professionals, and researchers on impactful user experiences.

Build developer documentation tooling, CI/CD automation, GitHub Actions, documentation testing pipelines, content validation tools, and release workflows. Apply LLMs to documentation maintenance and site health tasks. Collaborate with documentation and engineering teams, document deliverables, participate in code reviews, and present work at an intern showcase.

Develop and test embedded software for spacecraft, ground infrastructure, custom PCBs, and satellite communications hardware. Collaborate across engineering disciplines to prototype and build hardware-interfacing software using C++ and Python. Applicants must be enrolled in a technical bachelor’s degree program and eligible under U.S. space technology export regulations. RF, signal processing, and real-time operating systems experience is preferred.

Engineering interns develop, ship, test, and monitor production code through a meaningful project tailored to team needs. They collaborate with mentors and managers, contribute to real engineering systems, and present their work at the end of the internship. Projects may involve data pipelines, automated testing, financial platforms, frontend applications, APIs, deployment, and cloud technologies.

Supports product managers with feature definition, prioritization, requirements, user stories, prototyping, experimentation, customer research, data analysis, and competitive research. Collaborates with Product, Design, Engineering, Operations, and stakeholders to deliver internal technology solutions. The intern helps translate customer problems into product improvements and uses AI tools and feedback to validate concepts and inform decisions.

Supports Pinterest’s Global Content Organization through business planning, performance analysis, reporting, dashboard development, project coordination, milestone tracking, and workflow improvement. The intern will analyze operational metrics, communicate insights, maintain planning materials, coordinate scoped projects, and use approved AI and internal tools responsibly to improve research and workflows.

Supports UX and product design for autonomous drone systems across web and mobile. Responsibilities include mapping user journeys, synthesizing research, creating workflows, wireframes, high-fidelity designs, prototypes, and design-system contributions. The intern collaborates with designers, product managers, engineers, and users; participates in usability research, customer visits, critiques, and iterative feedback. The role emphasizes trustworthy interfaces, complex technical products, clear communication, and responsible use of AI design tools.

Graduate interns will develop scalable simulation data pipelines for Waymo’s virtual driver’s test, evaluating autonomous driving capabilities. They will improve code health and developer experience using software engineering best practices while collaborating with autonomous driving teams. Required qualifications include a current master’s or PhD program, C/C++ proficiency, strong communication skills, and enthusiasm for autonomous driving. SQL, Python, distributed systems, and AI-assisted development experience are preferred.

Data Scientist Intern will analyze large-scale datasets, design A/B experiments, improve experimentation and analytics tooling, and translate insights into product recommendations. The role involves collaboration with Data Science, Product, and Engineering teams, use of SQL and Python, statistical analysis, AI-assisted workflows, and presenting findings to leadership. This hybrid internship runs June 1 through August 31, 2027, with three in-office days weekly in San Francisco.

Software Engineering Interns design, implement, test, document, and present software for Zoox’s autonomous vehicle systems. Projects may involve profiling tools, network schedulers, automated checkers, middleware, security, simulation, or sensor tooling. Interns evaluate designs through experiments, benchmarks, and research while collaborating with engineering teams. The internship is full-time for 12 weeks in the Bay Area and provides exposure to software foundations supporting autonomy and robotics.

Hardware Engineering Interns support autonomous vehicle systems through electrical and functional validation, failure root-cause analysis, hardware stability tooling, quality and reliability analysis, supplier assessments, and sourcing projects. They analyze engineering and supplier data, recommend improvements, and present findings to cross-functional stakeholders. The role requires Python or similar data-analysis tools, hands-on lab equipment experience, strong analytical skills, and relocation to the Bay Area for a full-time summer internship.

Hardware Engineering Intern supporting Zoox Manufacturing Operations through production hardware development, test automation, diagnostics, process optimization, logistics, prototyping, and manufacturing data analysis. Responsibilities may include improving assembly and logistics processes, developing work instructions and automation tools, analyzing production data, and presenting recommendations to engineering and manufacturing stakeholders. The internship is full-time for 12 weeks in the Bay Area beginning May or June 2027.

Software Engineering Interns will develop and evaluate algorithms and machine learning models for Zoox’s autonomous driving system. Responsibilities include training models on large-scale driving and simulation data, analyzing failure modes, writing production-quality C++ and Python, participating in code reviews, communicating technical results, and potentially contributing to publishable research across autonomy behaviors, perception, routing, or collision avoidance teams.

Software engineering interns build services, tools, applications, firmware, testing automation, and embedded software supporting Zoox’s autonomous fleet. Projects may involve vehicle-cloud platforms, firmware, software integration, QA, site reliability, or rider-facing software. Interns improve reliability, performance, observability, and diagnostics while collaborating with software, firmware, and hardware engineers. The role is a full-time, 12-week internship in the Bay Area beginning May or June 2027.

Interns prototype and build AI-enabled tools, automations, integrations, data pipelines, dashboards, and enterprise-system solutions for business needs. They collaborate with technical and business teams, translate requirements into scalable solutions, document work, and present results. Potential focus areas include business applications, enterprise data and AI, information security, IT infrastructure, and HRIS.

Hardware engineering interns design, model, simulate, test, and validate vehicle components or subsystems for Zoox’s autonomous robotaxi. Responsibilities include using CAD and simulation tools, analyzing test data, investigating build or testing issues, proposing design fixes, documenting work, and presenting results. Interns may work on vehicle integration, packaging, powertrain, thermal and electrical systems, chassis, body, industrial design, or the robot platform.

Supports audit, review, and other engagements by performing audit procedures, preparing workpapers, analyzing financial data, researching client and industry matters, and communicating findings. The intern collaborates with engagement teams and client personnel while gaining public accounting experience through training and professional development. Candidates must be enrolled in a business degree program emphasizing accounting and authorized to work in the United States without sponsorship.

Build and ship full-stack AI-powered revenue software using React, TypeScript, Node.js, and Python. Own projects from concept through deployment, monitoring, and iteration; collaborate with product, design, customers, and engineering; improve platform performance, reliability, scalability, and agent efficiency; and contribute to low-latency voice AI, agent development, simulations, evaluations, and feedback systems.

Conduct electrolyte formulation, characterization, and electrochemical testing for advanced battery cells. Analyze ionic conductivity, viscosity, moisture, HF content, mechanical properties, and experimental data. Prepare reports and present findings while following laboratory safety protocols, SOPs, and proper chemical-handling procedures.

Marketing internship focused on developing foundational marketing and communications skills through cross-functional projects, mentorship, networking, and exposure to campaigns, content, brand, digital media, events, operations, and analytics. Interns collaborate with peers and marketing leaders, complete a business-relevant group project, and contribute creative problem-solving in a fast-paced hybrid environment.