Artificial Intelligence Jobs in Arlington, TX

Responsible for developing and maintaining software solutions in a collaborative environment. Build reusable components, mentor team members, and architect production-grade applications using various technologies. Ensure system reliability and performance, while driving technical decisions through collaboration.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Pioneering machine learning solutions for the defense sector, developing and deploying production-grade ML models, tackling complex data challenges, and collaborating with engineers.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.