Live job market

Who's hiring machine learning engineers in United States

130 machine learning engineer roles are open in the United States right now across 43 employers, 35% of them remote. Everything below is counted from live postings on company career pages.

Live openings
130
Employers
43
Remote share
35%
Share of United States
1.7%

of all openings we track there

Companies posting the most machine learning engineer roles in United States

  1. 1Pinterest16 open roles
  2. 2Reddit15 open roles
  3. 3Scale AI12 open roles
  4. 4Roblox10 open roles
  5. 5Airbnb8 open roles
  6. 6Databricks6 open roles
  7. 7Elastic5 open roles
  8. 8Gusto4 open roles
  9. 9Lyft4 open roles
  10. 10Stripe3 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-learning50%
  • creativity17%
  • llm15%
  • adaptability15%
  • talent-acquisition13%
  • databricks10%
  • sql5%
  • go3%
  • compensation3%
  • payroll3%
  • leadership2%
  • 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 States16 roles
  2. 2Remote - United States15 roles
  3. 3San Francisco, CA12 roles
  4. 4San Mateo, CA, United States10 roles
  5. 5San Francisco, CA, US; Remote, US7 roles
  6. 6San Francisco, CA; New York, NY7 roles
  7. 7USA6 roles
  8. 8New York, NY6 roles

Recently posted

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

  • Senior Machine Learning Systems Engineer, Ads ML Experience Platform

    Reddit

    RemoteRemote - United States
  • Machine Learning Engineer, Ads Optimization

    Reddit

    RemoteRemote - United States
  • Staff Machine Learning Engineer, Shopping Ads

    Reddit

    RemoteRemote - 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
  • Senior Machine Learning Engineer, Reliability

    Roblox

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

    Roblox

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

    Mercury

    RemoteSan Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
  • GenAI Security - Principal Security Research Engineer

    Elastic

    United States
  • Machine Learning Engineer

    Robinhood

    Bellevue, WA

Machine Learning Engineers in other markets

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

  1. 1Germany103 open
  2. 2United Kingdom44 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?
130 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 Pinterest, Reddit, Scale AI, Roblox, Airbnb. Pinterest 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 (50% of ads), creativity (17% of ads), llm (15% of ads), adaptability (15% of ads), talent-acquisition (13% 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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