This role is closed
Scale AI is no longer accepting applicants for this position. Browse other live web3 jobs or check out similar roles below.
Get Discovered
No applications. Teams find and message you directly.
Get discovered. Join the talent poolNo account needed · 0 people in the pool→
No account needed. Teams find you and reach out directly.
0 people already in the pool
◆ 8/10
aitechOtherhybrid
About this role
Join Scale AI as a Staff Software Engineer, focusing on building and delivering RL environments at scale. Shape the future of AI applications with your expertise in software engineering and systems design.
Description
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
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.
- Instrument real applications, design task suites, and build graders that hold up under adversarial optimization.
- Set technical direction across multiple teams and write the hard part.
Requirements
Required 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.
- 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.
Conditions & Benefits
- Base salary range for this full-time position in San Francisco, New York, Seattle is: $252,000 — $315,000 USD.
- Equity-based compensation, subject to Board of Director approval.
- Comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, and generous PTO.
- Additional benefits such as a commuter stipend may be available.
Job Details
Salary$252,000–$315,000
LocationHybrid
AI Score★★★★★★★★☆☆ 8/10
PostedSep 25, 2026 (17d ago)
Tags & Skills
aitechOtherhybrid
Tech Stack
PythonTypeScriptReactGoRustDockerKubernetesLLMs