CareerPlan

Forward Deployed Engineer, Production

San FranciscoFull-time2026-11-09 → 2026-11-10
On-site · United StatesVisa sponsorship offered

Core

Own the loop between customer models, research teams, and data production to ensure data measurably improves customer AI models.

Role type

Senior IC machine-learning engineer (audio data production)

Builds

Real-time pipelines, eval harnesses, and analysis tools for audio data production

Domain

AI / Machine Learning / Audio Data Research

Deliverable

production ML models

Required skills

AI-native coding, experimental design, ablation study execution, data quality operationalization, ML lifecycle management, tooling development

Preferred skills

Audio/speech model experience, ML research workflows, enterprise customer interaction

Technologies

Generative audio models, real-time data pipelines, evaluation harnesses

Responsibilities

Run daily experiment loops to translate customer questions into fast, rigorous experiments; Design ablations and benchmarks to isolate drivers of model behavior; Develop operational intuition for data quality by tracing model outcomes to recording conditions and QA steps; Build tooling (eval harnesses, pipelines, analysis tools) to accelerate experimentation; Close the loop by ensuring experimental findings change data production strategies; Shape experimentation practices and engineering culture

Seniority

Senior, hands-on IC