Facebook Software Engineer Systems ML - GenAI Evals Platform 

United States, Washington, Bellevue 

938258454

Design methods, tools, and infrastructure to push forward the state of the art in evaluating large language models.

Collaborate with AI research scientists to accelerate the next generation of Generative AI models by facilitating development of novel evals and judges

Optimize GPU / CPU utilization to maximize efficiency and speed of running evals

Hold a high bar in engineering quality with a focus on reliability, scalability and user experience

Work with a large and globally distributed team.

Contribute to publications and open-sourcing efforts.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Programming experience in Python and hands-on experience with frameworks such as PyTorch

Experience with architectural patterns of large scale software applications, especially in the ML Systems domain

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 6+ years of experience in AI framework development OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development

Direct experience with Generative AI and LLMs

Proven track record of execution in a dynamic environment, preferably on AI/ML infra projects

Knowledge of GPU, CPU, or AI hardware accelerators

Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development