Staff Software Engineer, RL Environments
Scale AI · San Francisco, CA; New York, NY · Gen AI Engineering · listed September 2, 2026
The shape of it
Seniority
Staff
Experience asked
8+ years
Where
Remote
Stated pay
$252,000 – $315,000 USD
Requirements listed
7
Length
1,031 words
In the posting’s own words
As a Staff Software Engineer, RL Environments, you'll own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale.
What it asks for · 7
- 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.
Tools and skills named
Cloud & infra
- AWS
- Azure
- CI/CD
- Distributed systems
- Docker
- GCP
- Kubernetes
- Observability
Languages
- Go
- Python
- Rust
- TypeScript
Models & research
- LLM
- Reinforcement learning
Data
- Data pipelines
Frameworks
- React
Words the posting leans on
- experience13×
- systems8×
- infrastructure5×
- experience building4×
- technical4×
- engineers3×
- reward3×
- software3×
- algorithms2×
- ambiguous2×
- benchmarks2×
- data2×
- deep2×
- design2×
- designing2×
- end2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Scale AI
- AI Advisory ConsultantSan Francisco, CA; New York, NY
- AI Advisory PrincipalSan Francisco, CA; New York, NY
- AI Applications Ops Manager, GPSDoha, Qatar
- AI Infrastructure Engineer, Sandbox PlatformSan Francisco, CA; Seattle, WA; New York, NY
- AI Infrastructure Engineer, Sandbox PlatformLondon, UK
- AI Infrastructure Engineer, Serving PlatformLondon, UK