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About the Role
Scale Frontier Data is seeking a Staff Software Engineer to own the technical foundation for building, running, verifying, and delivering RL environments at scale. This role involves designing the platform for sandboxed execution, environment packaging, rollout orchestration, and authoring surfaces, as well as instrumenting real applications and building robust graders.
Responsibilities
- Own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale.
- Design the platform including sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and authoring surfaces.
- Instrument real applications, design task suites that expose specific capability gaps, and build graders that hold up under adversarial optimization.
- Set technical direction across multiple teams and write critical code.
- Build systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from.
Requirements
- 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 skills.
Skills
- Distributed systems
- System design
- Data structures
- Algorithms
- Python
- TypeScript
- React
- Go
- Rust
- Containerization
- Sandboxed execution
- Docker
- VMs
- gVisor
- Firecracker
- Kubernetes
- High-throughput backend systems
- Orchestration
- Job scheduling
- Queuing
- Large-scale data pipelines
- LLMs
- Agent loops
- Tool calling
- MCP
- Eval harnesses
- Model behavior intuition
- RL environments
- Agentic benchmarks
- Eval harnesses
- RLHF
- RLAIF
- RLVR
- GRPO/PPO-family algorithms
- Rejection sampling
- Reward modeling
- Reward hacking defense
- RL training stacks
- RL serving stacks
- Verifiable reward signals
- High-scale sandbox infrastructure
- Code-execution infrastructure
- Remote development environments
- CI systems
- Cloud-native infrastructure (AWS/GCP/Azure)
- Infrastructure as Code
- CI/CD
- Observability (tracing, structured logging, metrics)
- Internal tools development
- Data-dense review interfaces
- Annotation interfaces
- Research-adjacent engineering
- Technical leadership
Location
- San Francisco
- New York
- Seattle
Work Type
- Full-time
Experience Level
- Staff level
- 8+ years of software engineering experience
Salary/Compensations
- $252,000—$315,000 USD
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend (potential)
About the Company
- 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.
- We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
- We are expanding our team to accelerate the development of AI applications.
Equal Opportunity
- We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
- We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
- We comply with the United States Department of Labor's Pay Transparency provision.