Top Internships in San Francisco Bay Area, CA

Summer Flood Engineering Intern supporting catastrophe engineering and analytics projects. Responsibilities include flood catastrophe modeling, hydrologic and hydraulic analysis, geospatial computing, statistical and uncertainty analysis, data analytics, and quantitative risk evaluation for insurance underwriting. The intern will work with large raster and vector datasets, contribute to model development, and collaborate independently and with multidisciplinary teams.

Software Engineer Intern building production AI-agent systems for insurance workflows. Responsibilities include developing across the stack, working on real-time voice infrastructure and insurance-platform integrations, optimizing live systems, owning features end-to-end, and contributing to product and technical decisions. The role uses TypeScript, React, and Node.js and offers hands-on exposure to real-time systems, AI platforms, and telephony.

Supports the Private Client Group through financial reporting, project work, process improvements, client meeting preparation, data analysis, dashboard development, and business-development support. Participates in advisor and internal meetings, develops professional and analytical skills, and completes a final capstone presentation. The internship is designed for rising seniors interested in becoming financial advisors, with potential for a full-time associate offer.

Software engineering internship focused on building and shipping full-stack features for Persona’s identity platform. Interns will design scalable systems, work directly with customers, collaborate across product and business teams, and receive dedicated mentorship. Responsibilities include developing product features, handling large-scale data workloads, applying data modeling and schema design, and delivering projects independently and collaboratively in a fast-paced startup environment.

Participate in a 12-week product design internship focused on creating accessible, user-centered experiences across Atlassian products. Collaborate with product managers, engineers, researchers, and designers to understand customer needs, prototype solutions, conduct usability testing, apply research and product data, and contribute to design systems and documentation. The role emphasizes AI-powered experiences, teamwork tools, interaction design, visual design, and systems design.

A Product Design Intern will complete a 12-week project embedded on a Coinbase product team. Responsibilities include defining user needs, creating user flows and high-fidelity Figma prototypes, validating design concepts, presenting in critiques, collaborating with product managers, researchers, and engineers, and contributing front-end changes using AI-assisted coding tools. The intern will apply human-centered design methods to solve complex product challenges across mobile and web platforms.

Build dimensional data models, SQL-based data pipelines, datasets, dashboards, and data quality tests for Coinbase’s analytics infrastructure. Partner with stakeholders to support self-service analytics, investigate data issues, and use generative AI responsibly to improve development and documentation workflows. This is a 12-week summer 2027 internship with quarterly in-person working sessions.

Machine Learning Engineer Interns will develop, deploy, and operate production-scale ML models and pipelines. They will lead an end-to-end research-to-production project, apply modern ML techniques to blockchain and crypto use cases, collaborate with senior engineers and product teams, and present findings to stakeholders. The role requires doctoral-level machine learning research, model development experience with PyTorch or TensorFlow, production-quality Python skills, and software engineering fundamentals.

Data Science Interns collaborate with product and engineering teams to analyze data, build models, support A/B tests and causal inference studies, maintain analytical datasets and pipelines, and communicate actionable insights. The role involves solving complex business problems with senior data scientists and applying responsible generative AI to improve workflow efficiency, cost, and quality. This is a 12-week summer 2027 internship with quarterly in-person work sessions.

This 12-week internship involves owning product requirements, partnering with engineering, design, and data teams, and driving product launches. The intern will develop product strategy through user research, market and competitive analysis, define success metrics, analyze launch results, and build expertise in cryptocurrency and the onchain ecosystem.

Twelve-week software engineering internship building production crypto and blockchain products at Coinbase. Interns write tested code, collaborate with engineering, design, and product teams, participate in code reviews, own an end-to-end project, and learn blockchain concepts. Candidates need programming experience, problem-solving ability, familiarity with web, mobile, backend, or infrastructure development, and responsible generative AI usage with human oversight.

Build and maintain data pipelines and scalable cloud infrastructure supporting analytics and machine learning. Integrate internal and external data sources, ensure data integrity, contribute to analytical investigations, document findings, and apply data governance, security, and performance optimization practices while collaborating with senior engineers and cross-functional teams.

This 12-week internship supports user research for Coinbase products, including Coinbase Cloud and developer tools. Responsibilities include planning and executing UX research, investigating complex product questions, producing research reports, and translating user insights into product and design recommendations. The intern will collaborate with researchers, designers, and product managers while developing foundational UX research skills and using generative AI responsibly.

Supports attorneys and business professionals using the firm's AI platforms. Provides one-on-one workflow coaching, troubleshoots prompting and tool-use questions, creates reference guides, performs comparative and feature testing across Claude, Harvey, and Legora, documents findings, and implements governance and token-management guardrails. The role requires strong communication, structured documentation, end-user support experience, and interest in legal technology and applied AI.

Technology Interns contribute to software engineering and operational projects, developing, testing, troubleshooting, and documenting solutions. They investigate technical problems, work with engineers and scientists on data usage and catastrophe modeling, manage assigned tasks, and participate in development processes. The internship provides experience with enterprise software, production systems, cloud and data technologies, and insurance technology applications.

Conduct original AI/ML research across search, recommendations, NLP, and agentic workflows. Prototype and productionize AI systems, address AI and analytics UX challenges, and contribute to scalable infrastructure for model experimentation, training, and evaluation. The role requires a current AI/ML PhD student with strong machine learning knowledge and an understanding of the end-to-end ML lifecycle, including data curation, training, deployment, and monitoring.

Build, prototype, test, and deploy production software features for Sigma’s cloud analytics platform. Interns collaborate with engineers, product managers, designers, and users; develop scalable frontend or backend systems; optimize performance; create automated unit tests; document work; and use customer metrics to improve product decisions. The role includes owning a development project from ideation through implementation while working full-time in person for 12 weeks.

Paid intern supporting The California Report Magazine through story research, pitching, interviews, field recording, audio production, digital story writing, and social media promotion. The role requires long-form audio storytelling experience, California news awareness, and work at KQED headquarters and in the field. Podcast production, digital audio editing, news feature writing, and multilingual skills are beneficial.

Paid hybrid journalism internship preparing candidates for entry-level reporting careers. Interns cover Bay Area news, interview community members and experts, write concise broadcast and digital stories, meet daily deadlines, pitch story ideas, and collaborate in a newsroom. No professional journalism experience is required.

Supports KQED’s Creative team by producing branded digital and print collateral, editing photographs, developing design concepts, incorporating feedback, sourcing visual assets, coordinating print vendors, and preparing print-ready files. The intern collaborates with internal clients, manages project timelines, presents design rationale, and gains mentorship through diverse design projects.

Support production of KQED’s live Forum radio show by researching topics, pitching ideas, pre-interviewing guests, moderating comments, assisting with broadcasts, creating web and social media content, answering phones, performing basic audio editing, and completing administrative tasks. The internship provides hands-on training in news writing, interviewing, research, and daily public radio production.

Supports KQED Education marketing through online workshop promotion and production, event calendar management, event asset creation, follow-up communications, in-person conference and workshop logistics, newsletter drafting and scheduling, and event data reporting. The intern may also help curate student submissions and support other marketing programs while maintaining nonpartisan public communications and KQED journalistic standards.

Supports podcast operations and audience engagement through social media content, short-form video and audio production, promotional copywriting, asset distribution, data management, research, community interaction, and event planning. The intern collaborates with podcast teams and other departments on audience growth, podcast metrics, promotional strategies, and digital engagement across platforms including Instagram, TikTok, and YouTube Shorts.

Supports audience intelligence through data mining, research, quantitative analysis, predictive analytics, automation, data visualization, and stakeholder presentations. The intern will aggregate and analyze datasets, develop actionable insights for organizational decisions, monitor product performance, and lead a project resulting in a portfolio-ready deliverable. The role requires SQL knowledge, analytical ability, strong communication, attention to detail, and independent work.

Develop system-level use cases, verification and validation plans, proof-of-concept solutions, customer integrations, technical sales assets, and custom demos for LiDAR detection software. Gather customer feedback, integrate with video management systems such as Genetec and Milestone, troubleshoot product issues, and support root-cause analysis. The role also involves test automation, data analysis, mechanical fit-ups, and installations.