Senior ML Engineer - Remote Reinforcement Learning

YO AI Labs; Austin (TX); Remote; USD 96,000 - 179,000; Part time

Job summary

YO AI Labs is seeking an experienced Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Qualifications

• Strong experience with software development and delivery.
• Experience debugging complex systems and improving performance.
• Proven ability to implement features and refactor large codebases.
• Familiarity with distributed or large-scale codebases is a plus.

Responsibilities

• Create reinforcement learning environments for software engineering tasks.
• Design tasks including bug fixing, feature development, refactoring, and performance optimization.
• Build deterministic verification and golden reference solutions.
• Evaluate AI agents on complex codebases using MCP tools.
• Develop realistic, reproducible software engineering scenarios.
• Document solutions and provide clear technical feedback.

Skills

Python 3

Java

Rust

C++

TypeScript

Algorithms & DS

Bug fixing

Feature implementation

Code refactoring

Performance optimization

Communication

Attention to detail

Job description

YO AI Labs is seeking an experienced Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.