Top Internships in San Francisco Bay Area, CA

Design intern supporting product positioning, visual storytelling, experience videos, product imagery, prototypes, and AI experience concepts. The role collaborates across creative and product teams to simplify complex ideas and communicate product experiences through writing, film, design, and content creation. Candidates should present a portfolio and explain their creative decisions, interests, and execution while contributing to evolving experience and narrative design projects.

Create and share memes, videos, and original social media content; collaborate on creative ideas; research images; and support publishing activities. This remote, part-time internship requires local San Francisco availability for in-person collaboration. Prior experience is not required, but applicants must provide relevant creative work samples and references.

Paid 12-week, full-time internship supporting biostatistics and analytical data sciences for clinical drug development. Responsibilities may include statistical research, clinical data analytics, data engineering, R package development, automation, and AI-enabled analytical workflows. Interns will work on impactful pharmaceutical projects, present findings to senior leadership, and collaborate with data scientists across therapeutic areas.

Paid, full-time summer intern supporting digital, AI, algorithm development, and clinical outcome assessment research within pharmaceutical product development. Responsibilities include developing and evaluating models using clinical and multimodal data, exploring machine learning and deep learning methods, analyzing patient-reported outcomes, and prototyping software or programming approaches. Candidates must have a bachelor’s degree and be pursuing or recently completed a master’s degree or pursuing a PhD in a relevant technical or scientific field.

Paid, full-time engineering internship beginning January 11, 2027, with in-office work in San Francisco or New York. Interns ship customer-facing products, complete rotations in enterprise, support engineering, and platform on-call, then deliver a capstone project. The program emphasizes engineering impact, testing, monitoring, communication, architectural intuition, independence, and learning, with potential—but no guarantee—for full-time conversion in software, support engineering, applied AI, infrastructure/SRE, or full-stack roles.

Supports opinion research and strategy projects through background research, survey logic testing, proofreading, focus group observation, note-taking, memo and presentation preparation, vendor coordination, and administrative assistance. The six-month remote internship provides mentorship and exposure to political, corporate, technology, and environmental research projects. Interns work 40 hours weekly and may occasionally work evenings or weekends.

Cloud Engineering Intern supporting HP IQ’s cloud services and AI-driven hardware products. Responsibilities include developing, testing, and operating integrated cloud services; collaborating with hardware, AI, platform, and infrastructure teams; contributing to AI assistant and conference room device projects; solving software problems; and communicating across teams. Preferred experience includes infrastructure automation, services at scale, and Spring Boot.

Develop and test embedded software for spacecraft and ground infrastructure. The intern will collaborate across engineering disciplines, create software for custom PCBs and satellite communications hardware, and work on challenging space systems projects. Required qualifications include current enrollment in a technical bachelor's degree program, C++ and Python experience, and the ability to design, write, and test hardware-interacting software. RF, signal processing, and real-time operating systems experience are preferred.

Conduct statistical analysis, causal inference, experimentation, predictive modeling, and machine learning using large datasets. Build data pipelines, dashboards, reports, and production models with Python or R, SQL, and Spark. Analyze fraud, financial crime, and business outcomes, communicate actionable recommendations, collaborate with multidisciplinary teams, and present findings to stakeholders.

Research AI-driven customer engagement and Agentforce through market research, competitive analysis, customer insight analysis, and applied AI exploration. Collaborate with AI research, product, and strategy teams; translate findings into product recommendations; prepare executive briefings and presentations; and summarize discussions with leaders and industry experts. The internship provides exposure to AI strategy, business transformation, customer experience, and enterprise AI applications.

Develop middleware software for Skydio drones and accessories, including foundational infrastructure, APIs, software updates, logging, media management, inter-process communication, and event loops. Evaluate system performance and reliability, write clean and maintainable code, debug complex issues, and collaborate with cross-functional engineering teams on impactful product functionality.

Develop and optimize hardware-in-the-loop infrastructure, including Python test frameworks, CI integration, physical test stations, fixtures, and embedded devices. Build automated validation tests, onboard new products, troubleshoot failing runs, distinguish infrastructure issues from product regressions, and collaborate with firmware, platform, hardware, and product teams. The role requires strong Python, software testing or CI infrastructure experience, Linux systems skills, embedded Linux debugging, and familiarity with hardware bring-up.

Business Operations Intern supporting process improvement at a space networking startup. The intern will map workflows, identify opportunities for AI and automation, implement and document solutions, establish operating rhythms, and improve information flow between Oakland and El Segundo offices. The role involves owning strategic projects from scoping through team adoption and requires strong problem-solving, communication, and change-management skills.

Paid, full-time summer intern developing computational workflows for single-cell transcriptomic and multi-omics data in preclinical safety research. Responsibilities include integrating and analyzing biological datasets, characterizing in vitro models, benchmarking AI/ML and foundation-model approaches, interpreting results with interdisciplinary scientists, and creating reproducible analysis tools and LLM-based workflows.

Own a component of Parspec’s AI quoting agent from customer discovery through engineering-ready specifications. Responsibilities include interviewing users, mapping workflows, identifying human-versus-agent responsibilities, building prototypes, defining reliability and success metrics, writing product requirements, and analyzing AI pricing models, usage, costs, and unit economics. The intern will recommend a pricing strategy and present findings to leadership while collaborating closely with product and engineering teams.

Conduct user research for AI pilots and experiments, including designing research plans, interviewing users, synthesizing findings, producing reports, and recommending product directions. The intern will establish research protocols and assessment frameworks while collaborating with researchers, engineers, and cross-functional stakeholders to translate insights into AI product recommendations.

AI Engineer Interns will research, design, evaluate, and productionize AI-powered data capabilities. Responsibilities include running AI/ML experiments, developing agent self-improvement and continuous-learning systems, collaborating with product engineers, building evaluation and training infrastructure, optimizing performance, designing APIs, and contributing across the full development lifecycle.

Product Design Interns support end-to-end product development, from defining problems and sizing opportunities through execution, launch, and learning. They collaborate with engineering, design, data science, research, and marketing; use data and user insights to inform decisions; contribute to specifications, prioritization, experimentation, and go-to-market planning; and apply AI tools to improve product development workflows.

Supports finance leadership with accounting, reconciliations, reporting, financial analysis, budgeting, audits, and business cases. Maps finance workflows and develops AI and automation solutions using LLMs, Python, SQL, Power Automate, SAP, and Power BI. Assists with SAP FI/CO improvements, dashboards, process documentation, testing, training, and internal controls. Coordinates meetings, action items, travel, and cross-functional projects while traveling frequently to company sites and business partners.

Systems Engineering Intern supporting autonomous drone system and subsystem architectures. Responsibilities include collaborating across embedded, hardware, wireless, software, and autonomy teams; deriving specifications; developing architectures; simulating and analyzing designs; supporting prototyping; and selecting components. Candidates should have Python and C/C++ skills, embedded systems experience, strong technical writing abilities, and experience integrating imaging, ranging, compute, motor control, communications, sensing, or payload systems.

Supports development and qualification of a human iPSC-derived neuronal microelectrode array assay for predicting compound-induced seizure liability. Responsibilities include optimizing neuronal and astrocyte cultures, conducting compound dosing studies, analyzing electrophysiological spike and burst metrics, evaluating assay sensitivity and specificity with reference compounds, collaborating with cross-functional safety teams, and presenting validation results. The internship is full-time, on-site in South San Francisco, and requires current PhD enrollment in a relevant scientific discipline.

Supports financial planning, forecasting, reporting, and analysis for Uber’s global business. Builds financial models, evaluates initiatives and business opportunities, applies financial and operational insights to decision-making, and helps drive operational efficiency. The internship includes developing a business recommendation for Strategic Finance leadership and exposure to finance career paths.

Engineering Intern supporting environmental consulting projects through research, data analysis, technical evaluations, documentation, meeting follow-up, and project tasks. The intern works under close supervision with multidisciplinary teams, applies academic knowledge to real-world challenges, completes workshops and a capstone project, and gains hands-on exposure to technical consulting and project delivery.

Develop low-level systems software interacting closely with hardware and system resources. Responsibilities include optimizing performance, analyzing memory and resource usage, working on sensor and data-processing pipelines, contributing to build systems and tooling, debugging system issues, and collaborating with firmware and electrical engineering teams. The intern will own a technical project through implementation, testing, and evaluation.

Develop and deploy AI-powered decision tools and agentic workflows for safety operations. Build LLM integrations with safety databases and operational logs, evaluate model reliability and failure modes, create APIs or dashboards, and collaborate with safety strategists and software engineers to validate prototypes in real-world autonomous vehicle scenarios.