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 Achira, Optum, and Gap. Find a role that fits below and apply directly.
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Job Description – Senior AI/ML Engineer
Location: Melbourne (hybrid, 3+ days a week in our Melbourne office)
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
We’re looking for a Senior AI/ML Engineer to join our team and lead projects in AI benchmarking and analysis. You’ll work closely with our founders to build core parts of the software stack for our fast-growing startup.
The coming wave of AI scaling is going to change the world in ways we don’t yet understand - and we’re offering a front row seat.
What You’ll Do
- Lead the development and optimization of aspects of our core benchmarking stack, focusing on data intensive backend systems and APIs, and driving projects from concept to shipped
- Design and implement robust Python solutions for benchmarking, model evaluation and data analysis
- Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for thousands of daily users
- Conduct custom analyses for enterprise customers, providing actionable insights to inform their AI strategies
- Contribute to the evolution of our benchmarking methodologies, including development of evaluation methodology for emerging modalities and capabilities
- Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry
What We’re Looking For
- 3+ years of professional software engineering experience
- Passion for AI and eagerness to work at the forefront of technological innovation
- Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI)
- Familiarity with cloud infrastructure, orchestration and monitoring tools
- Experience with visualizing and presenting data
- Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty
- Excellent communication and collaboration skills
- Proven ability to lead projects independently in a fast-paced environment
- Bachelor’s or Master’s in Computer Science, Engineering, or related field (e.g. Physics)
Preferred but not essential:
- Experience with AI/ML frameworks (e.g. PyTorch)
- Creation of analytical reports
Why Artificial Analysis?
- Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.
- Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.
- Work with the most important players in AI: You’ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.
- Join at a defining moment: We’re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.
- Competitive compensation including equity
Job Description – Senior AI/ML Engineer
Location: Melbourne (hybrid, 3+ days a week in our Melbourne office)
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
We’re looking for a Senior AI/ML Engineer to join our team and lead projects in AI benchmarking and analysis. You’ll work closely with our founders to build core parts of the software stack for our fast-growing startup.
The coming wave of AI scaling is going to change the world in ways we don’t yet understand - and we’re offering a front row seat.
What You’ll Do
- Lead the development and optimization of aspects of our core benchmarking stack, focusing on data intensive backend systems and APIs, and driving projects from concept to shipped
- Design and implement robust Python solutions for benchmarking, model evaluation and data analysis
- Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for thousands of daily users
- Conduct custom analyses for enterprise customers, providing actionable insights to inform their AI strategies
- Contribute to the evolution of our benchmarking methodologies, including development of evaluation methodology for emerging modalities and capabilities
- Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry
What We’re Looking For
- 3+ years of professional software engineering experience
- Passion for AI and eagerness to work at the forefront of technological innovation
- Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI)
- Familiarity with cloud infrastructure, orchestration and monitoring tools
- Experience with visualizing and presenting data
- Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty
- Excellent communication and collaboration skills
- Proven ability to lead projects independently in a fast-paced environment
- Bachelor’s or Master’s in Computer Science, Engineering, or related field (e.g. Physics)
Preferred but not essential:
- Experience with AI/ML frameworks (e.g. PyTorch)
- Creation of analytical reports
Why Artificial Analysis?
- Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.
- Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.
- Work with the most important players in AI: You’ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.
- Join at a defining moment: We’re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.
- Competitive compensation including equity
See All 55 AI ML Intern Jobs in San Francisco
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Find AI ML Intern JobsAI ML Intern Job Market in San Francisco
Who's Hiring
- Achira11A
- Optum6
- Gap6
- Genentech6
- Lila Sciences6
Top Industries Hiring
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
- Consulting & Professional 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 Achira, Optum, and Gap, per current listings on Migrate Mate as of August 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 26% of ai ml intern openings tied to San Francisco are remote or hybrid as of August 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 Healthcare & Medical Services, Biotechnology & Pharmaceuticals, and Consulting & Professional Services, per current listings on Migrate Mate as of August 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.
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