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Senior ML engineers are among the highest-paid software engineers. They combine deep ML knowledge with production engineering skills. Here's what they cost.
Salaries by Experience (USA)
role
base salary
equity bonus
total comp
Junior (0-2 years)
$120k-160k
$15k-30k
$135k-190k
Mid-Level (3-5 years)
$160k-220k
$30k-60k
$190k-280k
Senior (6-9 years)
$220k-300k
$60k-120k
$280k-420k
Staff/Principal (10+ years)
$300k-400k+
$120k-250k+
$420k-650k+
By Industry (Senior ML Engineer)
industry
base salary
total comp
Big Tech (FAANG)
$250k-350k
$350k-600k
Hedge Funds/HFT
$300k-500k
$500k-1M+
Startups (Series C+)
$180k-250k
$220k-350k
Enterprise/Non-tech
$160k-220k
$180k-280k
By Location (Senior ML Engineer)
location
base salary
San Francisco/NYC
$250k-350k
Seattle/Austin
$200k-280k
Remote USA
$180k-260k
UK (London)
£120k-180k
EU (Berlin)
€100k-150k
Remote Global
$80k-150k
Contract and Freelance Rates
- ✦ Junior ML engineer: $80-120/hour
- ✦ Mid-level ML engineer: $120-180/hour
- ✦ Senior ML engineer: $180-280/hour
- ✦ ML architect/consultant: $250-400/hour
What Increases ML Engineering Costs
- ✦ Production deployment ownership
- ✦ MLOps expertise
- ✦ Distributed training experience
- ✦ GPU optimization knowledge
- ✦ Real-time inference systems
- ✦ Regulated industry experience
Why Companies Pay a Premium
- ✦ Faster model deployment cycles
- ✦ Lower infrastructure costs
- ✦ Reduced production incidents
- ✦ Higher model reliability
- ✦ Fewer failed ML initiatives
Budget for ML Expertise
Senior ML engineers are expensive but cost-effective. A good one prevents months of failed deployments and infrastructure issues. Offline Pixel connects you with pre-vetted ML engineers at competitive rates. Raise a request, tell us your budget, and we'll match you within 8 hours.
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