Meta's AI Production Engineering team needs to build and maintain tools and components supporting the company's AI training services, impacting Llama and GenAI efforts. This involves developing and optimizing software and hardware for data loading, job scheduling, and other critical AI training processes to ensure reliability, efficiency, and scalability.
Requirements
- Experience with systems, networking, and troubleshooting
- Experience drafting and reviewing code
- Experience with building teams and/or organizations, including hiring and managing performance
Responsibilities
- Support and lead engineers and managers working on Meta's products and services, at different layers of the stack, on challenges related to scalability, reliability, performance and efficiency of systems
- Understand and contribute to technical architectures, capacity plans, tooling needs, automation plans, product launch plans and create comprehensive plans for prioritizing technical and resourcing challenges
- Drive technical architecture discussions, even on subjects you haven't had direct experience working with
- Develop lasting partnerships with product management, program management, network engineering, software engineering and other related groups to build and improve our ever-growing large-scale distributed infrastructure and product environment
- Empower engineers and managers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles
- Assess employee performance on an ongoing basis, address under-performance, and recognize and promote performance
- Work closely with dedicated recruiting staff to expand the team including interviewing candidates, participating in conferences/events, and on-boarding new employees
Other
- 6+ years of management experience in a technology role
- BS or MS in Computer Science, Engineering, or a related technical discipline, or equivalent experience
- Communication and cross-collaboration experience
- Help build and enrich an healthy work environment
- Balance the need to “keep things running” with allocating time to long-term, high-impact projects
