Machine Learning Engineer Jobs in San Francisco, CA

Machine Learning Engineer jobs in San Francisco concentrate in SoMa, Mission Bay, and the Financial District, driven by demand from AI research labs, enterprise software companies, and fintech platforms, with specializations in NLP, computer vision, and MLOps among the most sought-after. Employers hiring right now include DoorDash, Uber, and OpenAI. Scan the live roles below and apply to whichever ones fit.

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Overview

Open roles1,026+
Top employerDoorDash
Work type50% Hybrid
Companies hiring96

Showing 5 of 1,026+ Machine Learning Engineer jobs

Uber
Sr Machine Learning Engineer - Consumer Incentives
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Uber
New 5h 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 1,026+ Machine Learning Engineer Jobs in San Francisco

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Machine Learning Engineer Job Market in San Francisco

Who's Hiring

  • Pinterest
    Pinterest76
  • DoorDash
    DoorDash64
  • Uber
    Uber47
  • OpenAI
    OpenAI41

Top Industries Hiring

  • Technology & Software252
  • Science & Research53
  • Electronics & Hardware35
  • Banking & Financial Services29
  • Biotechnology & Pharmaceuticals23

Machine Learning Engineer Jobs in San Francisco: Frequently Asked Questions

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

Focus your search on San Francisco's dense clusters of AI-native startups in SoMa, enterprise tech companies in the Financial District, and biotech firms in Mission Bay, since those sectors drive the bulk of local openings. Candidates who can demonstrate production ML experience, not just research, stand out here. Contributing to open-source projects and engaging with the Bay Area's active ML meetup and conference scene also builds the kind of local visibility that leads to referrals.

Which companies hire machine learning engineers in San Francisco?

Employers hiring machine learning engineers in San Francisco right now include DoorDash, Uber, and OpenAI, based on current listings on Migrate Mate as of September 2026. San Francisco's hiring landscape skews toward AI-first startups, large consumer tech platforms, and fintech companies with dedicated ML infrastructure teams.

Are there remote machine learning engineer jobs in San Francisco?

Yes, though many roles tied to San Francisco require on-site collaboration, particularly those involving proprietary hardware, research labs, or cross-functional product teams. About 66% of machine learning engineer openings tied to San Francisco are remote or hybrid as of September 2026, reflecting a market that still values in-person work for certain stages of the ML lifecycle. Pure modeling, data pipeline, and MLOps roles tend to offer the most remote flexibility locally.

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

The most realistic entry path in San Francisco is through an ML engineer internship or a junior data scientist role at a mid-size startup in SoMa or Mission Bay, where smaller teams give early-career candidates broader exposure than large tech companies typically do. Building a portfolio of end-to-end projects, including data ingestion, model training, and deployment, matters more to San Francisco hiring managers than credentials alone. Bootcamp graduates who can demonstrate working production code and contribute to open-source repositories have found traction at growth-stage companies across the city.

Which industries hire the most machine learning engineers in San Francisco?

Most machine learning engineer openings in San Francisco sit in Technology & Software, Science & Research, and Electronics & Hardware, per current listings on Migrate Mate as of September 2026. San Francisco's concentration of AI research investment, consumer tech scale, and fintech infrastructure makes those sectors the primary engines of local ML hiring.

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