ML/AI Engineer — Fastly Salary Negotiation Guide
Negotiation DNA: ML/AI Engineers at Fastly build intelligent edge capabilities — ML-powered DDoS mitigation, bot detection, traffic optimization, and edge AI inference that enhance the edge cloud platform's performance and security.
Compensation Benchmarks (2026)
| Level | San Francisco (USD) | Remote US (USD) |
|---|---|---|
| Mid (L3-L4) | $163,000–$228,000 | $148,000–$210,000 |
| Senior (L5) | $225,000–$298,000 | $208,000–$280,000 |
| Staff+ (L6+) | $293,000–$375,000 | $275,000–$355,000 |
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Lever 1: Edge AI/ML — "Running ML models at the edge enables real-time DDoS detection, bot mitigation, and traffic optimization."
Lever 2: Network Optimization Models — "ML models that optimize routing, caching, and traffic management improve platform performance."
Lever 3: Security ML — "ML-powered security services (DDoS, WAF, bot detection) are key Fastly differentiators."
Lever 4: ML Talent Premium — "ML engineers with edge computing and network optimization expertise are rare."
Negotiate Up Strategy: Open at $183,000 base with FSLY RSUs valued at $60K-$85K/year. Accept-at floor: $248,000 total comp.
Evidence & Sources
- Fastly SEC filings — ~$4B market cap, 2025–2026
- Levels.fyi Fastly 2025–2026 compensation data
- Glassdoor Fastly salary data 2025–2026
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