R1
Role-based Bands
ML Eng, DS, LLM Eng, CV, MLOps, PM—each with entry/mid/senior baselines aligned to 2025 signals.
2025 Dataset • Updated Quarterly
AI & ML Compensation Estimator
Role-based. Region-aware. Skill-adjusted. Generate a credible compensation range with a methodology you can explain to a hiring manager or your CFO.
Live preview optional • use access form to start
Built for real decisions, not curiosity clicks
Bands by role & level, geo & industry lifts, and capped skill premiums—so the final number is transparent and defensible.
G2
Geo & Industry Signals
SF/NYC/Toronto/Bangalore differentials plus industry & company tier multipliers to localize pay.
S3
Skill Premiums (Capped)
Scarce skills (LLMs, CV, Cloud/DevOps, Platform) add uplift without unrealistic stacking.
Designed for these roles
We cover the core AI/ML families and keep expanding as the market evolves.
Machine Learning Engineer
Data Scientist
NLP / LLM Engineer
Computer Vision Engineer
MLOps / Platform
AI Product Manager
Data Engineer
AI Engineer
AI Research Scientist
How the estimate is calculated
Simple 3-layer stack—so you can explain your number in a negotiation.
01
Role × Level Baseline
Conservative base range for each role/level pair drawn from current hiring patterns.
02
Geo × Industry × Tier
Multipliers reflect location, industry norms, and company tier (Big Tech ⇄ SMB).
03
Top Skill Premium
Highest relevant premium applied (e.g., LLMs). Caps prevent over-inflation.
Ready to see your range? Open the access form to start.
