Remote Research Engineer: Code Gen & Model Evaluation

Remotebridge; United States; Remoto; USD 83.000 - 124.000; Tempo pieno

Descrizione del lavoro

Remotebridge is seeking a Research Engineer for code generation and model evaluation, working remotely as a contractor. The role focuses on analyzing diverse codebases, designing and implementing features for code generation workflows, and evaluating AI model performance through real-world tasks.

Strong emphasis on open-source collaboration, clear technical communication, and meticulous code validation under tight deadlines.

Competenze

• Expertise in competitive programming and coding problem analysis.
• Expertise in at least one of: Python3, Java, Rust, C++, Go, or TypeScript, with solid knowledge of algorithms and data structures.
• Proven track record of open-source contributions or participation in collaborative software projects.

Mansioni

• Analyze, debug, and resolve issues across codebases written in Python3, Java, Rust, C++, Go, or TypeScript.
• Contribute to design and implementation of new features and enhancements for code generation workflows.
• Refactor and optimize codebases to improve performance, maintainability, and adaptability.
• Develop and review real-world coding tasks to evaluate AI model performance and accuracy.
• Author clear, actionable feedback and annotations to support model training and assessment.
• Collaborate with other open-source contributors and stakeholders to set technical direction and outputs.
• Document technical decisions, best practices, and solutions to drive project transparency and knowledge sharing.

Conoscenze

Python

Java

Rust

C++

Go

TypeScript

Open-source contributions

Problem solving

Communication

Strumenti

Algorithms

Descrizione del lavoro

Remotebridge is seeking a Research Engineer for code generation and model evaluation, working remotely as a contractor. The role focuses on analyzing diverse codebases, designing and implementing features for code generation workflows, and evaluating AI model performance through real-world tasks.

Strong emphasis on open-source collaboration, clear technical communication, and meticulous code validation under tight deadlines.