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 DoorDash, Lila Sciences, and Uber. Scan the live roles below and apply to whichever ones fit.

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Overview

Open roles1,114+
Top employerDoorDash
Work type50% Hybrid
Companies hiring91

Showing 5 of 1,114+ Machine Learning jobs

Uber
Sr Machine Learning Engineer - Consumer Incentives
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Uber
New 6h ago
Sr Machine Learning Engineer - Consumer Incentives
Uber
San Francisco, California
AI (Artificial Intelligence)
Data Science
ML (Machine Learning)
Software Engineering
$202k - $224k/yr
Bachelor's degree in engineering
10,000+

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Uber
Software Engineer II - Machine Learning Engineer
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Uber
Added 1d ago
Software Engineer II - Machine Learning Engineer
Uber
San Francisco, California
AI (Artificial Intelligence)
Data Science
$171k - $190k/yr
10,000+

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Uber
Sr Machine Learning Engineer
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Uber
Added 1d ago
Sr Machine Learning Engineer
Uber
San Francisco, California
Data Science
Data Science & Analytics
ML (Machine Learning)
$202k - $224k/yr
Bachelor's degree in statistics
10,000+

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Okta
Principal Machine Learning Engineer, SecureAI
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Okta
Added 1d ago
Principal Machine Learning Engineer, SecureAI
Okta
San Francisco, California
Cloud Engineering
DevOps
Solutions Engineering & Architecture
$238k - $326k/yr
Master's degree
5,001-10,000

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Braze
Staff Machine Learning Engineer, ML Platform
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Braze
Added 1d ago
Staff Machine Learning Engineer, ML Platform
Braze
San Francisco, California
Customer Support
IT Support
IT Support & Systems Administration
Technical Program Management
$184k - $314k/yr
1,001-5,000

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See All 1,114+ Machine Learning Jobs in San Francisco

Find roles in San Francisco that match your experience and apply in just a few clicks.

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Machine Learning Job Market in San Francisco

Who's Hiring

  • DoorDash
    DoorDash72
  • Lila Sciences
    Lila Sciences65
  • Uber
    Uber52
  • Pinterest
    Pinterest46
  • OpenAI
    OpenAI39

Top Industries Hiring

  • Technology & Software248
  • Science & Research52
  • Electronics & Hardware39
  • Banking & Financial Services39
  • Biotechnology & Pharmaceuticals33

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 DoorDash, Lila Sciences, and Uber and others right now, based on current listings on Migrate Mate as of September 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 66% of machine learning openings tied to San Francisco are remote or hybrid as of September 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, Science & Research, and Electronics & Hardware, based on current listings on Migrate Mate as of September 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.

See All 1,114+ Machine Learning Jobs in San Francisco

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