Senior ML Engineer (Remote) - RL for SW Eng Tasks

YO AI Labs; California (MO); Remote; USD 47,000 - 78,000; Part time

Job summary

YO AI Labs is seeking a Senior Software Engineer to support an AI training project by building reinforcement learning environments that evaluate models on software tasks using MCP tools.

This remote, contractor role focuses on designing reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, refactoring, and performance optimization. No prior AI experience is required, but strong programming skills are essential.

Qualifications

• Experience creating reinforcement learning environments for software tasks.
• Ability to design deterministic verification and reference solutions.
• Proven ability to evaluate AI agents on complex codebases.

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.

Skills

Python

Java

Rust

C++

TypeScript

Algorithms & DS

Bug fixing

Feature implementation

Code refactoring

Performance tuning

Communication

Attention to detail

Job description

YO AI Labs is seeking a Senior Software Engineer to support an AI training project by building reinforcement learning environments that evaluate models on software tasks using MCP tools.

This remote, contractor role focuses on designing reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, refactoring, and performance optimization. No prior AI experience is required, but strong programming skills are essential.