3 hours ago
Remote, United States or San Francisco, CA, USASenior
Base Salary
$245k - $300k/yr
Responsibilities
- Build and own production RL environments and MCP tools end to end for frontier-lab post-training workflows.
- Scope research goals with requesters, translate them into buildable specifications, and identify requirements that will not produce useful training signal.
- Build images and tools, write graders, deploy environments to customer platforms, and maintain them in production.
- Investigate failed tasks and jobs, lead responses when delivery pipelines degrade, and drive incidents to root cause.
- Improve platform leverage through automated image builds, release notes, spec-first design, CI gates, and review harnesses.
- Identify platform gaps and communicate them to the product roadmap.
Requirements
- 7+ years of experience building production systems.
- Production experience with Python or TypeScript; strong functional-language experience is also considered.
- Experience building and shipping containerized services, including Docker layering, dependency pinning, and reproducible images.
- Fluent use of coding agents with the judgment to review and catch incorrect output.
- Experience owning production systems, investigating incidents to root cause, and documenting preventive fixes.
- Working knowledge of cloud infrastructure, containers, managed databases, and deployment paths on AWS or another major cloud.
- Based in the US and able to get to the Bay Area as needed.
Benefits
- The role is US-based with the ability to get to the Bay Area as needed.
- Equity is included as part of the package at every level.
Tech Stack
Categories
About Pareto.AI
Humanity is in a virtuous cycle. Human data improves models, models help humans do more sophisticated things, which in turn improves models and elevates what humans can do with each pass. We believe sustaining this cycle means constantly advancing the frontier of human-based training signal through the products we build and the research that drives them. Humanity to infinity.
