Machine Learning Jobs in San Francisco, CA

Machine learning jobs in San Francisco concentrate in AI research, fintech, healthcare tech, and enterprise software, with the heaviest hiring in SoMa, Mission Bay, and the Financial District. Employers posting roles right now include Uber, Lila Sciences, and DoorDash. Scan the live roles below and apply to whichever ones fit.

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Overview

Open roles945+
Top employerUber
Work type51% Hybrid
Companies hiring100+

Showing 5 of 945+ Machine Learning jobs

Principal Machine Learning Engineer
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Added 1d ago
Principal Machine Learning Engineer
Atlassian
San Francisco, California
Electrical Engineering
Engineering (Non-Software)
Quality Assurance & Testing (QA Testing)
$196k - $309k/yr
Remote (US)
10,000+

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Machine Learning Engineer, Applied AI Intern (Summer 2027)
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Added 2d ago
Machine Learning Engineer, Applied AI Intern (Summer 2027)
BRAIN
San Francisco, California
AI (Artificial Intelligence)
Data Science
ML (Machine Learning)
Hybrid
201-500

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Member of Technical Staff - ML Research Engineer, Pre-Training Data
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Added 3d ago
Member of Technical Staff - ML Research Engineer, Pre-Training Data
Liquid AI
San Francisco, California
Business Development
Procurement & Purchasing
Supply Chain
Hybrid
Bachelor of Science

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Founding ML Engineer – Engineering Assessment AI
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Added 4d ago
Founding ML Engineer – Engineering Assessment AI
RNB Consultancy
San Francisco, California
Engineering (Non-Software)
Manufacturing Engineering
Robotics Engineering
$150k - $250k/yr

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Senior Machine Learning Engineer - Pricing
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Added 4d ago
Senior Machine Learning Engineer - Pricing
Uber
San Francisco, California
Data Science
Data Science & Analytics
ML (Machine Learning)
$202k - $224k/yr
Doctoral degree in Computer Science
10,000+

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Machine Learning Job Market in San Francisco

Who's Hiring

  • Uber52
  • Lila Sciences48
  • DoorDash44
  • Pinterest39
  • OpenAI30

Top Industries Hiring

  • Technology & Software170
  • Biotechnology & Pharmaceuticals35
  • Science & Research30
  • Artificial Intelligence26
  • Banking & Financial Services22

Machine Learning Jobs in San Francisco: Frequently Asked Questions

How do I get a machine learning job in San Francisco?

The strongest path into San Francisco's machine learning market is through its AI-first tech companies, early-stage startups in SoMa and Mission Bay, and the large fintech and healthcare tech firms anchored downtown. Candidates with hands-on experience in model deployment, MLOps, or applied NLP stand out locally. Contributing to open-source projects and building a visible portfolio on GitHub helps significantly in a market where hiring teams move fast and technical screens come early.

Which companies hire machine learnings in San Francisco?

San Francisco machine learning roles are posted by Uber, Lila Sciences, and DoorDash and others right now, based on current listings on Migrate Mate as of November 2026. The local market is a mix of established tech giants with dedicated AI divisions, fast-growing startups building foundation models, and financial services firms investing heavily in ML infrastructure.

Are there remote machine learning jobs in San Francisco?

Yes, though it depends on the role: research and data-focused positions tend to be more remote-friendly, while MLOps and on-site infrastructure roles typically require in-person work. About 68% of machine learning openings tied to San Francisco are remote or hybrid as of November 2026, reflecting the city's strong hybrid culture. Model experimentation and research work are the functions most commonly offered with location flexibility.

How can I get a machine learning job in San Francisco with little or no experience?

The most realistic entry point in San Francisco is an ML engineer associate or data analyst role at a mid-size startup, where teams are small enough that junior contributors take on meaningful work early. San Francisco's dense startup ecosystem in SoMa and Dogpatch regularly hires candidates who demonstrate project-based learning, Kaggle competition results, or research experience from local universities such as UC San Francisco or San Francisco State. Roles in data labeling, ML quality assurance, and analytics engineering often serve as direct stepping stones.

Which industries hire the most machine learnings in San Francisco?

San Francisco machine learning roles concentrate in Technology & Software, Biotechnology & Pharmaceuticals, and Science & Research, based on current listings on Migrate Mate as of November 2026. San Francisco's position as the hub of foundation model development, combined with its large fintech corridor and growing health tech cluster in Mission Bay, drives sustained demand across all three sectors.

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