Live job market

Who's hiring machine learning engineers in United States

137 machine learning engineer roles are open in the United States right now across 46 employers, 35% of them remote. Everything below is counted from live postings on company career pages.

Live openings
137
Employers
46
Remote share
35%
Share of United States
1.9%

of all openings we track there

Companies posting the most machine learning engineer roles in United States

  1. 1Scale AI16 open roles
  2. 2Pinterest13 open roles
  3. 3Reddit13 open roles
  4. 4Airbnb12 open roles
  5. 5Roblox10 open roles
  6. 6Faire6 open roles
  7. 7Databricks6 open roles
  8. 8Lyft4 open roles
  9. 9Spotify4 open roles
  10. 10Stripe4 open roles

What United States employers ask for

Share of the 60 most recent machine learning engineer postings that mention each skill. Read it as a checklist for your resume.

  • machine-learning63%
  • llm25%
  • creativity22%
  • talent-acquisition17%
  • adaptability17%
  • go5%
  • compensation5%
  • design-system3%
  • leadership3%
  • payroll3%
  • databricks3%
  • express2%
See a machine learning engineer resume that covers these

Where these roles are, inside United States

Locations exactly as the employers wrote them on the posting.

  1. 1United States17 roles
  2. 2Remote - United States13 roles
  3. 3San Francisco, CA12 roles
  4. 4San Francisco, CA; New York, NY11 roles
  5. 5San Mateo, CA, United States10 roles
  6. 6USA7 roles
  7. 7San Francisco, CA, US; Remote, US6 roles
  8. 8New York, NY6 roles

Recently posted

The newest machine learning engineer openings in the feed for United States.

  • Machine Learning Engineer, Ads Optimization

    Reddit

    RemoteRemote - United States
  • Machine Learning Systems Engineer, Ads ML Platform

    Reddit

    RemoteRemote - United States
  • Senior Machine Learning Systems Engineer, Ads ML Experience Platform

    Reddit

    RemoteRemote - United States
  • AI/ML Engineer

    Chime

    Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA
  • AI Software Engineer

    Relativity

    Long Beach, California, United States
  • Distinguished Machine Learning Engineer - Safety

    Roblox

    San Mateo, CA, United States
  • Principal Machine Learning Infrastructure Engineer, Ads & Discovery

    Roblox

    San Mateo, CA, United States
  • Senior Machine Learning Engineer, Ads

    Roblox

    San Mateo, CA, United States
  • Principal Machine Learning Engineer, Embodied AI and Smart NPCs

    Roblox

    San Mateo, CA, United States
  • Principal Machine Learning Engineer, Content Safety

    Roblox

    San Mateo, CA, United States
  • Machine Learning Systems Research Engineer/Scientist, Agent Post-training - Enterprise GenAI

    Scale AI

    San Francisco, CA; New York, NY
  • Staff Machine Learning Research Scientist Agent Post-training - Enterprise GenAI

    Scale AI

    San Francisco, CA; New York, NY

Machine Learning Engineers in other markets

The same role, counted the same way, everywhere else we have coverage.

  1. 1Germany80 open
Compare every market for machine learning engineers

Other roles hiring in United States

Machine Learning Engineers in United States: the questions people ask

How many machine learning engineers jobs are open in United States?
137 right now, 35% of them remote. The number comes from live postings on company career pages and refreshes hourly, so it reflects roles still accepting applications rather than an all-time archive.
Which companies hire machine learning engineers in United States?
The most active right now are Scale AI, Pinterest, Reddit, Airbnb, Roblox. Scale AI alone has 16 open machine learning engineer roles.
What skills do United States employers ask machine learning engineers for?
Across 60 recent postings, the most requested are machine-learning (63% of ads), llm (25% of ads), creativity (22% of ads), talent-acquisition (17% of ads), adaptability (17% of ads).
How current is this data?
Counts refresh hourly. Postings drop out automatically when they expire, and the month-over-month figure compares today against a snapshot recorded 30 days ago, so a rise or fall reflects real movement rather than a change in how we count.

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