updated october 2026

Machine Learning Engineer Jobs (October 2026)

1541 Machine Learning Engineer roles are open on the board as of October 2026, across 598 hiring companies — 20% of them remote-friendly. BJAK is hiring the most, with 35 openings. San Francisco is the busiest market. Advertised pay runs around $208,575 a year at the median. Listings are updated daily, and every role links straight to the employer's official application.

Open roles
1,541
live Machine Learning Engineer listings
Companies hiring
598
distinct employers
Remote
20%
310 remote-friendly
Median pay
$209k
$131k–$297k typical · 676 listings
P
Pinterest·San Francisco, CA, US; Remote, US·Hybrid
Mid·ML Engineer·$139k – $286k
1mo ago→
P
Pinterest·San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US·Hybrid
Mid·ML Engineer·$139k – $286k
1mo ago→
NC
1mo ago→
L
Lyft·San Francisco, CA·On-site
Mid·ML Engineer·$141k – $176k
1mo ago→
H
1mo ago→
A
1mo ago→
A
1mo ago→
3
3M·US, Minnesota, Maplewood·On-site
Junior·ML Engineer·$124k – $152k
1mo ago→
AI
Anduril Industries·Santa Ana, California, United States·On-site
Senior·ML Engineer·$220k – $292k
1mo ago→
S
Snapchat·Los Angeles, California; Seattle, Washington; Palo Alto, California; New York, New York; Bellevue, Washington·On-site
Staff·ML Engineer·$229k – $343k
1mo ago→
F
Fieldwire·San Francisco, CA (Hybrid) or United States (Remote)·Hybrid
Mid·ML Engineer·$152k – $220k
1mo ago→
AF
1mo ago→
S
1mo ago→
S
Skydio·San Mateo, California, United States·On-site
Junior·ML Engineer·$98k
1mo ago→
Z
ZipRecruiter·Remote, Santa Monica, CA·Remote
Staff·ML Engineer·$205k – $265k
1mo ago→
S
Snapchat·Bellevue, Washington; Seattle, Washington; Palo Alto, California·On-site
Staff·ML Engineer·$229k – $343k
1mo ago→
S
Saildrone·Alameda, California, United States·On-site
Staff·ML Engineer·$215k – $270k
1mo ago→
LI
Loka, Inc·LatAm, North Macedonia, Portugal, Serbia·Hybrid
Senior·ML Engineer
1mo ago→
I
1mo ago→

Methodology: live listings classified as Machine Learning Engineer by our enrichment step, which reads each posting’s own description rather than its job title alone. Counts are live and change daily as roles open and close; pay figures are the median of 676 advertised ranges, converted to annual USD, and are a directional guide rather than an offer.