ML/AI Engineer — Rapid7 Salary Negotiation Guide

Negotiation DNA: ML/AI Engineers at Rapid7 build the machine learning models and AI systems that power threat detection in InsightIDR, vulnerability prioritization in InsightVM, and automated response in InsightConnect — directly improving security outcomes for thousands of enterprises.

Compensation Benchmarks (2026)

Level	Boston (USD)	Remote US (USD)	London (GBP)
Mid (L3-L4)	$155,000–$215,000	$140,000–$198,000	£68,000–£93,000
Senior (L5)	$210,000–$278,000	$195,000–$260,000	£93,000–£125,000
Staff+ (L6+)	$270,000–$350,000	$253,000–$328,000	£120,000–£155,000

Total compensation includes base salary, RSU grants (RPD stock, 4-year vest), and performance bonus (typically 10%). ML/AI roles command a 5-10% premium over general SWE.

Negotiation DNA — Why This Role Commands a Premium at Rapid7

ML/AI Engineers at Rapid7 build the detection and classification models that differentiate the Insight Platform from competitors. InsightIDR's detection engine uses behavioral analytics and ML to identify threats that rule-based approaches miss. InsightVM uses ML for vulnerability risk scoring and prioritization. These models directly impact product value and customer security outcomes.

Rapid7 (~$4B market cap, Boston) competes for ML talent with strong Boston-area employers and national remote opportunities. The combination of applied ML at scale and security domain expertise makes this a competitive and well-compensated role.

Rapid7 Level Mapping & Internal Titles

Internal Level	Title	Typical YoE
L3-L4	ML Engineer	2–5 years
L5	Senior ML Engineer	5–8 years
L6	Staff ML Engineer	8–12 years

Lever 1: Detection Model Impact

"InsightIDR's detection accuracy is a key competitive differentiator. My experience building production ML models for anomaly detection and threat classification directly improves Rapid7's detection capabilities and reduces false positive rates."

Lever 2: Vulnerability Risk Prioritization

"InsightVM's ML-based risk scoring helps enterprises focus remediation on the most critical vulnerabilities. My expertise in risk modeling and feature engineering improves the accuracy of vulnerability prioritization."

Lever 3: ML Infrastructure & Deployment

"I bring experience deploying ML models in production with monitoring, A/B testing, and model lifecycle management — the operational ML expertise needed to maintain and improve Rapid7's detection models at scale."

Lever 4: ML Talent Premium

"ML engineers with security domain experience are rare. I'm evaluating opportunities at [competing companies], and Rapid7's offer should reflect both the ML talent premium and my specialized security expertise."

Negotiate Up Strategy: Open at $170,000 base with 1,400+ RPD RSUs. Accept-at floor: $230,000 total comp. Leverage ML talent scarcity and detection model impact.

Evidence & Sources

• Rapid7 SEC filings and financial data — ~$4B market cap, 2025–2026
• Rapid7 InsightIDR detection engine documentation — 2025–2026
• Levels.fyi Rapid7 2025–2026 compensation data
• Glassdoor Rapid7 salary data 2025–2026
• ML Engineer compensation benchmarks, Boston market — 2025–2026