ML/AI Engineer | Lattice Global Negotiation Guide
Negotiation DNA: Equity-Heavy (Private) | People Management Platform | $3B Valuation | San Francisco | PEOPLE AI PREMIUM
| Region | Base Salary | Stock (Options or RSU/4yr) | Bonus | Total Comp |
|---|---|---|---|---|
| San Francisco | $158K–$218K | $75K–$212K | 10–15% | $202K–$335K |
| Remote US | $145K–$205K | $62K–$192K | 10–15% | $182K–$308K |
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Lattice ML/AI Engineers build machine learning models for people analytics — performance prediction, engagement scoring, retention risk modeling, compensation benchmarking, and AI-powered HR insights. At the IC2-IC4 level, you develop models that help companies make data-driven people decisions. [Source: Lattice ML/AI Comp 2025-2026]
Level Mapping: Lattice ML/AI (IC2-IC4) = Culture Amp ML Engineer = Workday ML Engineer = Google L3-L5 ML
People AI — The Workforce Intelligence Premium
As an ML/AI Engineer at Lattice, you build models providing AI-powered people insights. "As an ML/AI Engineer, I build models powering Lattice's people analytics — performance prediction, engagement scoring, and retention risk modeling. I want equity reflecting how my AI systems create Lattice's competitive advantage."
Global Levers
- People Analytics ML: "I build ML models predicting employee performance, engagement decline, and retention risk — the AI capabilities that differentiate Lattice from competitors."
- $3B Valuation — AI Differentiation: "Lattice's competitive moat increasingly depends on AI-powered people insights. My models are the core differentiator."
- Compensation Intelligence: "I build models for compensation benchmarking and pay equity analysis — an increasingly critical capability for organizations."
- HR Tech ML Competition: "Culture Amp and Workday compete for ML engineers with people analytics modeling expertise."
Negotiate Up Strategy: "I'm targeting $212K base and $198K equity over 4 years with 15% bonus for this ML/AI Engineer role. I build the AI models powering Lattice's people analytics — performance prediction, engagement scoring, and retention risk. I have competing offers from [Workday at $322K TC / Culture Amp at $308K TC / Google at $338K TC]. ML engineers with people analytics expertise are scarce." Accept at $180K+ base and $155K+ equity.
Evidence & Sources
- [Lattice $3B Valuation — People AI]
- [Lattice ML/AI Comp — Levels.fyi 2025-2026]
- [Lattice AI-Powered People Analytics]
- [Lattice vs Culture Amp/Workday — ML Engineer Competition]
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