Remote Senior ML Engineer for Software RL Environments

YO AI Labs; North Carolina; Remote; USD 69,000 - 124,000; Part time

Job summary

YO AI Labs seeks a Senior Software Engineer (Contractor, ~15 hours/week) to build reinforcement learning environments for software tasks using MCP tools. You will design reproducible scenarios, provide deterministic verification, and craft reference solutions for bug fixes, feature work, refactoring, and performance tuning.

Responsibilities include creating RL environments, building verification systems, evaluating AI agents on complex codebases, and delivering clear technical feedback.

Qualifications

• Strong proficiency in Python, Java, Rust, C++, or TypeScript.
• Strong understanding of algorithms and data structures.
• Experience with bug fixing and debugging complex software issues.
• Proven experience in feature implementation and codebase refactoring.
• Strong knowledge of performance optimization and tuning.

Responsibilities

• Create reinforcement learning environments for software engineering tasks.
• Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
• Build deterministic verification systems and golden reference solutions.
• Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
• Develop realistic, reproducible software engineering scenarios.
• Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
• Document solutions and provide clear technical feedback.

Skills

Python

Java

Rust

C++

TypeScript

Job description

YO AI Labs seeks a Senior Software Engineer (Contractor, ~15 hours/week) to build reinforcement learning environments for software tasks using MCP tools. You will design reproducible scenarios, provide deterministic verification, and craft reference solutions for bug fixes, feature work, refactoring, and performance tuning.

Responsibilities include creating RL environments, building verification systems, evaluating AI agents on complex codebases, and delivering clear technical feedback.