Staff RL Environments Engineer

Neura Market; San Francisco, Northern (CA, KY); Hybrid; USD 252,000 - 315,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is seeking a Staff Software Engineer, RL Environments, to own the technical foundation for building, running, verifying, and delivering RL environments at scale. You will design sandboxed execution, packaging/versioning, rollout orchestration, trajectory capture, and verifier frameworks while writing the hard parts yourself.

You’ll also instrument real applications, craft task suites exposing capability gaps, and develop graders robust to adversarial optimization, guiding multiple teams

Qualifications

• 8+ years of software engineering experience with strong fundamentals in distributed systems, system design, data structures, and algorithms.
• Strong Python skills and a track record of shipping production software; comfort in at least one other part of the stack (TypeScript/React, Go, Rust, or similar).
• Deep experience with containerization and sandboxed execution, including Docker, VMs, gVisor/Firecracker, Kubernetes, or equivalent.
• Experience building or operating high-throughput backend systems: orchestration, job scheduling, queuing, and large-scale data pipelines.
• Hands-on experience building with LLMs including agent loops, tool calling, MCP, or eval harnesses, and enough intuition about model behavior to reason about what a training signal actually teaches.
• Demonstrated ability to own ambiguous, undefined problems end to end and drive them to a shipped system.
• Excellent written and verbal communication; ability to align engineers, researchers, and non-engineering partners on a technical direction.

Responsibilities

• Design and own the platform for sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and authoring surfaces.
• Instrument real applications, design task suites, expose capability gaps, and build graders that hold up under adversarial optimization.
• Set technical direction across multiple teams and write the hard parts of the system.
• Work on RL environments, agentic benchmarks, or eval harnesses and ensure scalable, trustworthy performance.

Skills

Distributed systems

Python

Containerization

LLMs / agent loops

System design

Communication

Leadership

Tools

Docker

Kubernetes

gVisor/Firecracker

VMs

CI/CD

Job description

Scale AI is seeking a Staff Software Engineer, RL Environments, to own the technical foundation for building, running, verifying, and delivering RL environments at scale. You will design sandboxed execution, packaging/versioning, rollout orchestration, trajectory capture, and verifier frameworks while writing the hard parts yourself.

You’ll also instrument real applications, craft task suites exposing capability gaps, and develop graders robust to adversarial optimization, guiding multiple teams