Senior ML Engineer — Remote RL Environments

YO AI Labs; San Francisco (CA); Remote; USD 55,000 - 124,000; Full time

Job summary

YO AI Labs seeks experienced Senior Software Engineers 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

• Proficient in Python, Java, Rust, C++, or TypeScript.
• Strong foundation in algorithms and data structures.
• Experience debugging complex software issues.
• Experience with feature implementation and codebase refactoring.
• Focus on performance optimization and tuning.
• Excellent written and verbal communication.
• Strong attention to detail.

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

Algorithms and data structures

Bug fixing

Refactoring

Performance optimization

Communication

Attention to detail

Job description

YO AI Labs seeks experienced Senior Software Engineers 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.