Applied ML Platform Engineer — Evaluation & Orchestration

Moveworks; Mountain View (CA); Presencial; USD 114.000 - 176.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health plans

401(k) with company match

Equity eligibility

Flexible time off

Descripción de la vacante

Moveworks, based in Mountain View, CA, is seeking an applied ML/backend engineer focused on scoring agent trajectories and building scalable evaluation harnesses. You will own the rubrics, calibrations, and performance signals used to train and improve agents operating across enterprise systems.

You'll develop end-to-end eval orchestration, observability, and stateful simulation components, enabling reliable, scalable experiments for LLM-driven workflows.

Formación

• 0–2 years building production backend or infrastructure
• Strong in Python or Go (ideally both)
• Experience designing and operating systems that handle real traffic at scale
• Comfort with ambiguity; novel problems without textbook solutions

Responsabilidades

• Own eval signal and scoring for multi-step agent trajectories
• Develop orchestration for multi-turn agent scenarios and runs at scale
• Lead observability work: OpenTelemetry integration, tracing, and data models
• Ensure reproducibility and reliability of evaluation harnesses
• Collaborate across teams to improve agent-driven workflows

Conocimientos

Distributed systems

Orchestration runtimes

Observability

Concurrent programming

Data pipelines

gRPC/protobuf

Descripción del empleo

Moveworks, based in Mountain View, CA, is seeking an applied ML/backend engineer focused on scoring agent trajectories and building scalable evaluation harnesses. You will own the rubrics, calibrations, and performance signals used to train and improve agents operating across enterprise systems.

You'll develop end-to-end eval orchestration, observability, and stateful simulation components, enabling reliable, scalable experiments for LLM-driven workflows.