Salaries · Scale AI
Scale AI Forward Deployed Engineer
Scale AI hires FDEs to land data and AI systems inside enterprises and defense-adjacent environments — where messy sources, labeling workflows, and governance matter as much as model demos.
Comp figures are directional public aggregates — not official Scale offers. Treat equity and level mix as the noisy parts of any TC screenshot.
Role overview
Scale’s FDE-shaped roles sit at the intersection of data operations, enterprise integration, and customer delivery. You are not “running a labeling farm” alone — you are making Scale’s platform and services work in the customer’s identity, network, and workflow constraints.
Expect heavier emphasis on data quality pipelines, evaluation datasets, and production handoff than pure SaaS feature work. For the broader role class, see what is an FDE.
Compensation (directional)
| Band | Cited TC range |
|---|---|
| Reported range | $200K–$450K TC |
| Mid cluster (noisy) | Often discussed mid–high $200Ks+ |
| Senior / specialized | Can approach upper end with equity |
Defense-adjacent or clearance-required seats may trade some cash for mission constraints and travel — ask early. See clearance FDE notes. Level deep-dives: Mid, Senior.
What you actually ship
- Customer data onboarding and schema / quality remediation
- Integrations into existing ML ops, warehouses, or defense data fabrics
- Evaluation sets and feedback loops that prove model / data ROI
- Security reviews, access patterns, and Day-2 runbooks
Interview shape
Expect coding plus a customer-constraint case: incomplete data, conflicting stakeholders, and a deadline that forces an MVP slice. Practice with case / decomp and enterprise system design.
FAQ
Is Scale FDE the same as an ML engineer?
No. ML engineers often own model training and platform internals. FDEs own customer production outcomes — integration, data reality, and adoption under foreign constraints.
How does TC compare to lab FDE roles?
Frontier labs (OpenAI, Anthropic) often show higher TC discussions; Scale sits closer to enterprise platform bands with mission-specific variance.
Related hubs
Jump across salary, interview, and role-comparison pages for the same decision path.