ML Engineers Earn
$155,000/yr on Average
Total compensation at top companies ranges from $100,000 to $250,000+ depending on experience, specialisation, and location.
Average Base
$155k
FAANG Total Comp
$300k+
PhD Premium
+$20-40k
Salary Calculator
Estimate your market rate based on location, experience, specialisation, and company type.
Estimated Base Salary
$150,000 - $190,000
25th to 75th percentile
Estimated Total Comp
$300,000 - $380,000
Base + stock + bonus
vs National Median
+10%
MS Premium
+$10,000
Salary by Experience Level
The total comp multiplier at FAANG increases dramatically at senior levels due to stock grants.
| Level | Base Salary | Total Comp (Big Tech) |
|---|---|---|
| Entry (0-2 yrs) | $100k - $140k | $150k - $220k |
| Mid (3-5 yrs) | $140k - $180k | $220k - $350k |
| Senior (6-10 yrs) | $180k - $230k | $300k - $450k |
| Staff/Principal (10+ yrs) | $220k - $280k | $400k - $600k+ |
FAANG vs Startup Compensation
FAANG / Big Tech (Google, Meta, Apple, Amazon, Microsoft)
Highest total comp. Structured levels. RSU-heavy (stock can be 40-60% of total). Predictable refreshers. At senior levels, total comp can be 2-2.5x base salary.
Typical TC range: $150k (L3) to $600k+ (Principal)
Well-funded Startups
10-20% lower base than FAANG. Equity upside potential (could be worth $0 or millions). Higher risk, higher potential reward. Faster career progression.
Base typically $120k - $220k. Equity value varies wildly.
Research Labs (DeepMind, Anthropic, OpenAI)
Competitive with FAANG. Strong equity at well-funded labs. Research publication opportunities. PhD often preferred or required for Research Scientist roles.
TC comparable to FAANG. Publication value is a non-monetary benefit.
Enterprise / Non-tech Companies
30-50% less total comp than FAANG. Fewer ML-specific career ladders. Broader scope of work (you may be the only ML engineer). Often better work-life balance.
Base $90k - $180k. Limited stock/equity.
Hot Specialisations in 2026
Where the premium pay is right now.
LLM / Foundation Models
+15-25%$180k - $300k base
Highest demand. Building or fine-tuning large language models. Every major tech company and well-funded startup is hiring.
AI Agents / Agentic Systems
+10-20%$170k - $280k base
Building autonomous agent frameworks. Emerging field with demand far outstripping supply.
RAG Systems
+10-15%$160k - $260k base
Retrieval-augmented generation specialists. Every enterprise AI project needs this capability.
MLOps / ML Infrastructure
+5-10%$150k - $250k base
Making ML systems reliable in production. Growing as ML moves from research to deployment.
Computer Vision
+5-10%$145k - $240k base
Autonomous vehicles, medical imaging, manufacturing quality. Steady, mature demand.
NLP (Classical)
+0-5%$140k - $230k base
Foundational skills, but increasingly absorbed into broader LLM work.
PhD Premium Analysis
Is the doctorate worth it? The honest answer depends on your career goals.
Entry-level premium
+$20k - $40k
base salary over BS/MS
Opportunity cost
$600k - $1M+
4-6 years foregone salary
Where a PhD matters most
- -Research Scientist roles at top labs (DeepMind, Anthropic, FAIR)
- -Foundation model and LLM research positions
- -Academic partnerships and joint appointments
- -Roles requiring novel research publication
Where a PhD matters least
- -MLOps and infrastructure engineering
- -Applied ML and production engineering
- -Startup ML engineering roles
- -Enterprise ML implementation
The nuanced answer
A PhD is worth it if you want a Research Scientist title at a top lab or plan to push the boundaries of ML research. For applied ML engineering, an MS plus 2 years of industry experience is often considered equivalent. The PhD premium narrows at mid-career as industry experience catches up.
Remote vs Bay Area vs Other Metros
Geographic salary comparison relative to Bay Area baseline.
| Location | Salary Adjustment | Cost of Living |
|---|---|---|
| San Francisco / Bay Area | Baseline (100%) | Very High |
| New York City | 95 - 100% | Very High |
| Seattle | 95 - 100% | High |
| Austin | 85 - 90% | Moderate |
| Denver / Boulder | 85 - 90% | Moderate |
| Remote (US) | 80 - 95% | Varies |
| Remote (International) | 50 - 80% | Varies |
Total Compensation Breakdown
How ML engineer pay is structured at top companies. Base salary is often less than half of total compensation.
30 - 50%
Base Salary
Fixed annual salary. The only guaranteed component.
30 - 50%
Stock / RSU
Restricted stock units, typically vesting over 4 years. Can be 40-60% of total at senior FAANG levels.
One-time
Signing Bonus
$20,000 - $100,000, amortised over 1-2 years. Offsets first-year stock vesting cliff.
10 - 20%
Annual Bonus
Percentage of base salary, tied to individual and company performance.
Varies
Benefits
401k match, health insurance, learning budgets, equity refreshers. Can add $20k-$50k in value.
Career Progression
ML Engineer I (New Grad)
$100k - $140k0-2 years
Implementing models, data pipelines, feature engineering
ML Engineer II
$130k - $170k2-3 years
Owns end-to-end model development for a product area
Senior ML Engineer
$170k - $220k4-6 years
Technical leadership on significant ML systems, mentoring
Staff ML Engineer
$210k - $260k7-10 years
Cross-team technical direction, architecture decisions
Principal / Distinguished
$250k - $300k+10+ years
Company-wide ML strategy, research direction