Senior ML Engineer — Remote AI Training Environments

YO AI Labs; Atlanta (GA); Remote; USD 55,000 - 91,000; Full time

Job summary

YO AI Labs is seeking experienced Senior Software Engineers to design reinforcement learning environments for evaluating AI models on complex software tasks. You will create reproducible environments, enforce deterministic verification, and craft reference solutions for bug fixing, feature development, and refactoring.

Ideal candidates bring strong Python/Java/Rust/C++/TypeScript skills, solid knowledge of algorithms, and a proven track record in performance tuning, debugging, and code-quality

Qualifications

• Must-have experience building reinforcement learning environments for software tasks.
• Strong proficiency in multiple languages (Python/Java/Rust/C++/TypeScript).
• Proven ability to design reproducible environments, deterministic verification and reference solutions.

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 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 & data structures

bug fixing & debugging

feature implementation & refactoring

performance optimization

communication

attention to detail

Job description

YO AI Labs is seeking experienced Senior Software Engineers to design reinforcement learning environments for evaluating AI models on complex software tasks. You will create reproducible environments, enforce deterministic verification, and craft reference solutions for bug fixing, feature development, and refactoring.

Ideal candidates bring strong Python/Java/Rust/C++/TypeScript skills, solid knowledge of algorithms, and a proven track record in performance tuning, debugging, and code-quality