Description
Shape the Future of AI
At Labelbox, we're building critical infrastructure for breakthrough AI models at leading research labs and enterprises. Since 2018, we've pioneered data-centric approaches fundamental to AI development.
The Role
We're hiring a Forward Deployed Engineer to design, develop, and operationalize reinforcement learning environments. You'll build sandboxed, reproducible execution environments for AI agents to interact with during training and evaluation.
What You'll Do
- Design, build, and maintain sandboxed RL environments for agentic AI training, including terminal emulators, browser automation harnesses, and computer-use simulators.
- Develop reproducible, containerized execution environments that support deterministic task rollouts and reward signal collection.
- Integrate with and extend open-source agentic tooling and custom CLI/API harnesses.
- Build instrumentation and observability layers for structured logging, trajectory capture, and state snapshotting.
- Collaborate with data operations to design task curricula and evaluation protocols.
- Own environment deployment and reliability, including CI/CD pipelines and automated testing.
- Rapidly prototype new environment types as client and internal requirements evolve.
What We're Looking For
- 2+ years of professional software engineering experience with strong fundamentals in Python and at least one systems-level language.
- Demonstrated experience with containerization and sandboxing in production or near-production contexts.
- Familiarity with RL concepts, including MDPs, reward shaping, and episode structure.
- Experience building or maintaining developer tooling, CLI tools, or infrastructure automation.
- Comfort working with browser automation frameworks or terminal interaction tooling.
- Strong debugging instincts and ability to read and implement from academic papers and open-source benchmark repositories.
Benefits
- High-Impact Environment: Operate like an early-stage startup, focusing on impact over process.
- Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders.
- Innovation at Speed: Celebrate ownership, speed, and impact.
- Continuous Growth: Surround yourself with curious minds solving complex problems.
- Clear Ownership: Know exactly what you're responsible for and have autonomy to execute.
Salary
The expected annual base salary range for United States-based candidates is $140,000-$200,000 USD.