Senior AI/ML Software Engineer - Remote RL Environments

YO AI Labs; Dallas (TX); À distance; USD 40 000 - 60 000; Temps partiel

Résumé du poste

YO AI Labs is seeking a Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software tasks using MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience is required.

Qualifications

• Strong proficiency in Python 3, 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.
• Excellent written and verbal communication.
• Strong attention to detail.

Responsabilités

• 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.

Connaissances

Python 3

Java

Rust

C++

TypeScript

Algorithms & DS

Bug fixing

Feature implementation

Code refactoring

Performance tuning

Communication

Detail-oriented

GIT

CI/CD

MCP tools

Outils

GIT

CI/CD

MCP tools

Description du poste

YO AI Labs is seeking a Senior Software Engineer to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software tasks using MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience is required.