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Staff Software Engineer, RL Environments

Scale AI· Gen AI Engineering
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San Francisco, CA, New York, NY$252k - $315kfull-timePosted 1mo ago

About the role

Staff Software Engineer role focusing on the technical foundation for scalable RL environments, sandboxed execution, environment packaging, rollout orchestration, verifiers, and production-grade instrumented environments for RL and agentic tasks.

Responsibilities

  • Own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale.
  • Design the platform: sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and authoring surfaces for engineers and domain experts.
  • Instrument environments by integrating real applications, designing task suites to expose capability gaps, and building robust graders under adversarial optimization.
  • Hands-on engineering: set technical direction across multiple teams and write the hard parts of the system.

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 intuition about model behavior to reason about training signals.
  • 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.

Skills

Required:PythonTypeScript/React or Go or RustContainerization and sandboxed executionHigh-throughput backend systemsLLMs and agent-based toolingSystems thinking and problem ownership

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend (eligible)
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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