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
HF
1mo ago→
HD
1mo ago→
A
Attain·Chicago, IL; New York, NY; Redwood City, CA·Hybrid
Senior·ML Engineer
1mo ago→
C
1mo ago→
N
Nebius·Amsterdam, Netherlands; Israel; Remote - Europe; United Kingdom·Hybrid
Senior·ML Engineer
1mo ago→
N
1mo ago→
K
1mo ago→
JH
Judi Health·Charlotte, North Carolina, United States; Denver, Colorado, United States; New York, New York, United States·On-site
Senior·ML Engineer·$180k – $226k
1mo ago→
JH
Judi Health·Charlotte, North Carolina, United States; Denver, Colorado, United States; New York, New York, United States·On-site
Senior·ML Engineer·$162k – $202k
1mo ago→
AR
Agility Robotics·Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA)·Hybrid
Staff·ML Engineer·$207k – $323k
1mo ago→
A
1mo ago→
R
1mo ago→
A
1mo ago→
W
Workday·Canada, BC, Vancouver·On-site
ML Engineer·$128k – $192k
1mo ago→
A
Adobe·San Jose; San Francisco; Austin; Seattle; Lehi; New York·Hybrid
Junior·ML Engineer·$94k – $114k
1mo ago→
T
Truveta·Seattle, WA·Hybrid
Senior·ML Engineer·$175k – $200k
1mo ago→
V
Velo3D·Fremont, CA·On-site
Senior·ML Engineer·$155k – $200k
1mo ago→
S
Snapchat·Los Angeles, California; Seattle, Washington; Palo Alto, California; New York, New York; Bellevue, Washington·On-site
Senior·ML Engineer·$209k – $313k
1mo ago→
C
Cohesity·Pune - Panchshil - India (Office); Bangalore - India (Office)·On-site
Staff·ML Engineer
1mo ago→
IA
1mo ago→
H
Hyperbound·San Francisco·On-site
Senior·ML Engineer·$260k – $300k
1mo ago→
P
Pwc·IL-Chicago; NC-Raleigh; NC-Charlotte; OH-Cincinnati; OH-Cleveland; SC-Columbia; OH-Columbus; TX-Dallas; MD-Baltimore; VA-Richmond; NY-Rochester; IL-Rosemont; CA-Sacramento; MA-Boston; MO-St. Louis; UT-Salt Lake City; TX-San Antonio; CA-San Diego; CA-San Francisco; CA-Silicon Valley; PR-San Juan; WA-Seattle; SC-Spartanburg; NY-Albany; CT-Stamford; FL-Tampa; GA-Atlanta; OH-Toledo; TX-Austin; OK-Tulsa; DC-Washington; CO-Denver; IA-Des Moines; MI-Detroit; NY-Buffalo; NJ-Florham Park; TX-Fort Worth; NC-Greensboro; CT-Hartford; TX-Houston; MI-Grand Rapids; IN-Indianapolis; CA-Irvine; FL-Jacksonville; MO-Kansas City; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; AR-Fayetteville; NY-Melville; FL-Miami; WI-Milwaukee; MN-Minneapolis; TN-Nashville; LA-New Orleans; US-Hybrid; NY-New York; OK-Oklahoma City; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-Portland·Hybrid
Mid·ML Engineer·$63k – $140k
1mo ago→
P
Pwc·IL-Chicago; NC-Raleigh; NC-Charlotte; OH-Cincinnati; OH-Cleveland; SC-Columbia; OH-Columbus; TX-Dallas; MD-Baltimore; VA-Richmond; IL-Rosemont; CA-Sacramento; MA-Boston; MO-St. Louis; UT-Salt Lake City; TX-San Antonio; CA-San Diego; CA-San Francisco; CA-Silicon Valley; WA-Seattle; NY-Albany; CT-Stamford; FL-Tampa; GA-Atlanta; OH-Toledo; TX-Austin; OK-Tulsa; DC-Washington; CO-Denver; IA-Des Moines; MI-Detroit; NY-Buffalo; NJ-Florham Park; TX-Fort Worth; NC-Greensboro; CT-Hartford; TX-Houston; IN-Indianapolis; MI-Grand Rapids; CA-Irvine; FL-Jacksonville; MO-Kansas City; NV-Las Vegas; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; AR-Fayetteville; FL-Miami; WI-Milwaukee; MN-Minneapolis; TN-Nashville; LA-New Orleans; NY-New York; OK-Oklahoma City; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-Portland·On-site
Senior·ML Engineer·$77k – $202k
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.