ML/AI Engineer — Fly.io Salary Negotiation Guide

Negotiation DNA: ML/AI Engineers at Fly.io build intelligent platform capabilities and GPU cloud infrastructure, enabling both platform optimization and AI/ML workload deployment at the edge for Fly.io's developer customers.

Compensation Benchmarks (2026)

Level	Chicago (USD)	Remote US (USD)
Mid (IC2)	$170,000–$240,000	$155,000–$223,000
Senior (IC3)	$238,000–$318,000	$220,000–$300,000
Staff+ (IC4+)	$313,000–$408,000	$295,000–$390,000

Total compensation includes base salary, startup equity (options), and potential bonus. ML/AI roles command 5-12% premium.

Lever 1: GPU Cloud for AI — "Fly.io offers GPU instances for ML workloads. I build the infrastructure for AI at the edge."

Lever 2: Platform ML — "ML models optimize microVM placement, capacity planning, and resource allocation."

Lever 3: Edge AI Inference — "Running ML models close to users is a growing use case. I build the infrastructure for edge AI."

Lever 4: ML Talent Premium — "ML engineers with infrastructure expertise are rare. Equity should reflect this premium."

Negotiate Up Strategy: Open at $193,000 base with equity valued at $70K-$105K/year. Accept-at floor: $268,000 total comp.

Evidence & Sources

• Fly.io company information — private startup, Chicago, 2025–2026
• Fly.io GPU instances documentation — 2025–2026
• Levels.fyi Fly.io 2025–2026 compensation data
• Glassdoor Fly.io salary data 2025–2026