Updated 2026-04-22 · BLS OEWS May 2024

Machine Learning Engineer jobs in San Francisco, CA

242 machine learning engineers employed in metro (BLS May 2024) · $208,110 median · 46% above the national median.

  • Direct ATS apply — no login walls.
  • Pay-by-metro, not a national average.
  • Pay data sourced from BLS OEWS May 2024.

Machine Learning Engineer pay in San Francisco, CA

The band below shows the 25th–75th percentile range for this occupation in the San Francisco metro. Half of Machine Learning Engineers earn inside that band.

25th pct MEDIAN 75th pct $164,193 $208,110 $250,074
25th$164,193 Median$208,110 75th$250,074 vs US46% above the national median

Source: BLS Occupational Employment & Wage Statistics, May 2024 OEWS estimates. Full Machine Learning Engineer salary guide →

Machine Learning Engineer pay bands in San Francisco by seniority

The cards below are illustrative pay-band examples — not live postings. Each shows the typical salary range you can expect at that seniority level, derived from BLS OEWS May 2024 medians for this metro. When Jobeezy matches you to a real opening, we auto-apply on your behalf.

Entry Level Machine Learning Engineer

Typical entry level band in San Francisco
Example (illustrative)
Location
San Francisco, CA
Typical pay range
$195,623–$243,904
Common on
Lever

Illustrative pay-band example. Not a live posting — figures derived from BLS OEWS May 2024 medians for this metro.

Mid Level Machine Learning Engineer

Typical mid level band in San Francisco
Example (illustrative)
Location
San Francisco, CA
Typical pay range
$186,258–$251,396
Common on
Ashby

Illustrative pay-band example. Not a live posting — figures derived from BLS OEWS May 2024 medians for this metro.

Entry Level Machine Learning Engineer

Typical entry level band in San Francisco
Example (illustrative)
Location
San Francisco, CA
Typical pay range
$183,136–$228,921
Common on
Lever

Illustrative pay-band example. Not a live posting — figures derived from BLS OEWS May 2024 medians for this metro.

Senior Machine Learning Engineer

Typical senior band in San Francisco
Example (illustrative)
Location
San Francisco, CA
Typical pay range
$183,136–$258,888
Common on
Lever

Illustrative pay-band example. Not a live posting — figures derived from BLS OEWS May 2024 medians for this metro.

Entry Level Machine Learning Engineer

Typical entry level band in San Francisco
Example (illustrative)
Location
San Francisco, CA
Typical pay range
$195,623–$258,888
Common on
Lever

Illustrative pay-band example. Not a live posting — figures derived from BLS OEWS May 2024 medians for this metro.

Machine Learning Engineer Career Ladder — San Francisco Metro

Expected pay at each step, scaled to San Francisco’s median. Your actual offer depends on employer, sub-specialty, and interview performance.

  1. Entry Machine Learning Engineer0–2 yrs$149,839
  2. Mid Machine Learning Engineer2–5 yrs$197,704
  3. Senior Machine Learning Engineer5–8 yrs$249,732
  4. Staff Machine Learning Engineer8–12 yrs$301,759
  5. Lead Machine Learning Engineer12+ yrs$353,787

Multipliers calibrated against BLS OEWS May 2024 occupational percentiles for 15-xxxx codes.

Employers in the Machine Learning Engineer hiring market in San Francisco

  • Accenture
  • IBM
  • SAIC
  • Deloitte Digital
  • Cognizant

Representative large employers for this occupation industry. Jobeezy auto-applies when any qualifying opening posts at these or other employers on Greenhouse, Lever, Workday, Ashby, or iCIMS.

How employers in San Francisco post Machine Learning Engineer jobs

Employers in the San Francisco metro typically post Machine Learning Engineer roles through one of five applicant tracking systems. Pick the guide that matches where you’re applying:

What San Francisco Employers Actually Ask Machine Learning Engineers

Pulled from O*NET work-activities and real interview patterns for this occupation. Practice all four with Jobeezy’s InterviewRide drills.

  • Technical

    Walk me through your day-to-day workflow in this role. How do you structure your time?

    Evaluates time management, self-organization, and maturity in the role. Look for clear priorities and discipline.

  • Technical

    What metrics do you use to measure your own performance in this position?

    Tests ownership and accountability. Good answers connect personal output to team and business outcomes.

  • Technical

    How do you stay current with changes in your field?

    Learning agility signal. Regular reading, communities of practice, certifications, peer networks.

  • Technical

    Describe the most complex project you've worked on in this field. What was your specific contribution?

    Depth probe. Interviewers check scope, ownership, and technical or domain sophistication.

Machine Learning Engineer in San Francisco, CA — Common Questions

How much does a Machine Learning Engineer earn in San Francisco, CA?
Median $208,110/yr. 25th–75th percentile runs $164,193–$250,074. Source: BLS OEWS May 2024.
How many Machine Learning Engineer jobs are there in San Francisco?
BLS OEWS May 2024 reports approximately 242 Machine Learning Engineer roles employed in the San Francisco metro. Openings turn over regularly — Jobeezy watches Greenhouse, Lever, Workday, Ashby, and iCIMS for new postings here.
Which ATS platforms do San Francisco employers use for Machine Learning Engineer?
Greenhouse, Lever, Workday, Ashby, and iCIMS account for the vast majority. Jobeezy reads all five directly so you can apply in one tap.
Does Jobeezy apply to Machine Learning Engineer jobs for me?
Yes. Jobeezy matches your profile to Machine Learning Engineer openings in San Francisco and submits on your behalf — no resume uploads, no repeat forms.

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