AI ML Intern Jobs in San Francisco, CA
AI ML Intern jobs in San Francisco are concentrated in SoMa, Mission Bay, and the Financial District, where demand from tech companies, biotech firms, and AI-native startups is strong year-round. Employers actively hiring include Lila Sciences, Genentech, and Uber. Find a role that fits below and apply directly.
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Showing 5 of 92+ AI ML Intern jobs
Our Mission
Rebuild how the world works, to make institutions work better for the people they serve.
About Brain Co.
Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
Why Now
Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.
About the Role:
As an AI/ML Engineer Intern, you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in healthcare, government, and energy.
This internship is designed for current undergraduate students, specifically juniors and seniors graduating no later than June 2028, who want hands-on experience applying modern AI techniques, especially large language models, to real-world challenges. You’ll gain exposure to the full ML lifecycle while receiving mentorship and ownership over meaningful projects.
What You’ll Do
Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows
Build and improve data pipelines and support model training, evaluation, and optimization
Work with structured and unstructured data (e.g., text, documents, logs)
Help prepare models and systems for production deployment and monitoring
Collaborate closely with senior engineers, AI researchers, and product teams
Learn best practices through code reviews, design discussions, and hands-on mentorship
Gain exposure to customer-facing and real-world constraints, including working with public-sector institutions
You Might Be a Good Fit If You
Are a current undergraduate students, specifically juniors and seniors graduating no later than June 2028, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
Have experience programming in Python
Have coursework or project experience in machine learning or AI
Have exposure to or interest in large language models and GenAI applications (e.g., agents, RAG, reasoning workflows)
Have used or are eager to learn frameworks such as PyTorch, JAX, or TensorFlow
Have strong fundamentals in data structures and algorithms
Are curious, proactive, and excited to learn quickly in a fast-paced environmentEnjoy owning problems end-to-end with guidance and support
Internship Details & Benefits
Dates: May 31, 2027 - Aug 6, 2027 or July 5, 2027 - September 10, 2027
Competitive internship compensation
Hands-on mentorship from experienced AI engineers and researchers
Opportunity to work on real production systems used globally
Potential return-offer consideration for future internships or full-time roles
Daily lunches (if onsite)
Our Mission
Rebuild how the world works, to make institutions work better for the people they serve.
About Brain Co.
Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
Why Now
Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.
About the Role:
As an AI/ML Engineer Intern, you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in healthcare, government, and energy.
This internship is designed for current undergraduate students, specifically juniors and seniors graduating no later than June 2028, who want hands-on experience applying modern AI techniques, especially large language models, to real-world challenges. You’ll gain exposure to the full ML lifecycle while receiving mentorship and ownership over meaningful projects.
What You’ll Do
Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows
Build and improve data pipelines and support model training, evaluation, and optimization
Work with structured and unstructured data (e.g., text, documents, logs)
Help prepare models and systems for production deployment and monitoring
Collaborate closely with senior engineers, AI researchers, and product teams
Learn best practices through code reviews, design discussions, and hands-on mentorship
Gain exposure to customer-facing and real-world constraints, including working with public-sector institutions
You Might Be a Good Fit If You
Are a current undergraduate students, specifically juniors and seniors graduating no later than June 2028, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
Have experience programming in Python
Have coursework or project experience in machine learning or AI
Have exposure to or interest in large language models and GenAI applications (e.g., agents, RAG, reasoning workflows)
Have used or are eager to learn frameworks such as PyTorch, JAX, or TensorFlow
Have strong fundamentals in data structures and algorithms
Are curious, proactive, and excited to learn quickly in a fast-paced environmentEnjoy owning problems end-to-end with guidance and support
Internship Details & Benefits
Dates: May 31, 2027 - Aug 6, 2027 or July 5, 2027 - September 10, 2027
Competitive internship compensation
Hands-on mentorship from experienced AI engineers and researchers
Opportunity to work on real production systems used globally
Potential return-offer consideration for future internships or full-time roles
Daily lunches (if onsite)
See All 92 AI ML Intern Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find AI ML Intern JobsAI ML Intern Job Market in San Francisco
Who's Hiring
- Lila Sciences14
- Genentech10
- Uber7
- BRAIN7
- Achira7A
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Automotive
- Banking & Financial Services
AI ML Intern Jobs in San Francisco: Frequently Asked Questions
How do I get a ai ml intern job in San Francisco?
Focus your search on SoMa, Mission Bay, and the Financial District, where AI-focused tech companies, enterprise software firms, and early-stage startups concentrate most of their intern hiring. Candidates with hands-on experience in Python, PyTorch, or large language model fine-tuning stand out in this market. Applying directly through company career pages and targeting roles at growth-stage startups often moves faster than pursuing enterprise programs.
Which companies hire ai ml interns in San Francisco?
Companies currently hiring ai ml interns in San Francisco include Lila Sciences, Genentech, and Uber, per current listings on Migrate Mate as of November 2026. San Francisco's hiring base skews heavily toward AI-native startups, consumer tech platforms, and research-oriented firms with dedicated machine learning teams.
Are there remote ai ml intern jobs in San Francisco?
Yes, though many ai ml intern roles require on-site access to GPU clusters, proprietary datasets, or lab environments, which limits full-remote options. About 71% of ai ml intern openings tied to San Francisco are remote or hybrid as of November 2026, with hybrid schedules most common at mid-size tech companies. Research and data annotation tasks are the portions of the role most likely to stay remote.
How can I get a ai ml intern job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is targeting early-stage startups in SoMa and Mission Bay that hire interns for data labeling, model evaluation, and prompt engineering work before advancing candidates to core ML responsibilities. Open-source project contributions and Kaggle competition results carry real weight with San Francisco hiring managers when a formal resume is thin. Bootcamp graduates and current university students benefit from applying to structured cohort programs run by larger local tech employers.
Which industries hire the most ai ml interns in San Francisco?
Most ai ml intern openings in San Francisco sit in Technology & Software, Electronics & Hardware, and Automotive, per current listings on Migrate Mate as of November 2026. San Francisco's density of AI research labs, enterprise SaaS companies, and venture-backed startups makes those sectors the primary drivers of local intern demand.
Related Jobs in California
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