RL Software Engineer: Build Efficient AI Environments

Crossing Hurdles; United States; In loco; USD 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Crossing Hurdles is seeking engineers to create reinforcement learning environments to test AI model capabilities and to optimize software for performance and scalability. The role involves debugging complex issues, implementing features, and refactoring code for efficiency while designing reproducible, deterministic verification solutions.

You will collaborate with cross-functional teams to deliver maintainable, high-quality software and measure tool usage and software engineering proficiency

Competenze

• Proficiency in listed languages (C++, Python, Java, Go, TypeScript, or Rust).
• Strong understanding of algorithms and data structures.
• Experience debugging complex software issues.
• Background in feature development and codebase refactoring.

Mansioni

• Create Reinforcement Learning Environments to test AI model capabilities.
• Fix bugs, implement features, and refactor code for performance optimization.
• Design reproducible environments and deterministic verification solutions.
• Measure MCP tool use and software engineering ability accurately.
• Collaborate with cross-functional teams to deliver maintainable solutions.

Conoscenze

C++

Python

Java

Go

TypeScript

Rust

Algorithms

Data structures

Performance tuning

Debugging

Descrizione del lavoro

Crossing Hurdles is seeking engineers to create reinforcement learning environments to test AI model capabilities and to optimize software for performance and scalability. The role involves debugging complex issues, implementing features, and refactoring code for efficiency while designing reproducible, deterministic verification solutions.

You will collaborate with cross-functional teams to deliver maintainable, high-quality software and measure tool usage and software engineering proficiency