Member Of Technical Staff - Reinforcement Learning (AI)

TL;DR

Member Of Technical Staff - Reinforcement Learning (AI): Designing, building, and maintaining systems for training and evaluating state-of-the-art agent models with an accent on ensuring large-scale reinforcement learning on LLMs runs highly efficient and robust. Focus on analyzing, troubleshooting, and profiling complex ML systems, identifying and addressing performance bottlenecks.

Location: Los Angeles County and San Francisco applicants must adhere to local ordinances

Company

hirify.global AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds.

What you will do

• Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust.
• Work across the entire technology stack, including low level ML system, job orchestration and data management.
• Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks.
• Conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.

Requirements

• PhD, or Master's degree and 3+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Experience debugging ML systems

Nice to have

• PhD in Computer Science, Machine Learning, or a related field, with a focus on ML System.
• Demonstrated experience in developing, implementing and debugging large scale ML systems.
• Experience with distributed system, Megatron, vLLM, Ray, and working with GPUs.
• Experience with patents or publications at top-tier peer-reviewed conferences or journals.

Culture & Benefits

• Inclusive culture empowers hirify.globalians to deliver the best results for our customers.
• If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the provided link for more information.