ML Infra Engineering Lead: AI Systems & Scale

Meta; New York (NY); On-site; USD 240,000 - 340,000; Full time

Job summary

Meta is seeking a senior engineering leader to guide a team at the intersection of AI, distributed systems, and hardware. The role focuses on driving design decisions, architecture, and strategy to enhance model efficiency, scale, and cost.

You will mentor engineers, manage roadmaps, and collaborate with AI Infra, Hardware Eng, Product, and Research to advance responsible AI practices. The ideal candidate has deep experience in AI/ML systems, HPC architectures, and model optimization, with a

Qualifications

• 3+ years managing software engineering teams with high-performing track record.
• Strong background in AI/ML or distributed/HPC systems.
• Experience guiding technical decisions and architecture reviews.
• Experience mentoring engineers and career growth planning.
• Experience with responsible, ethical AI practices (risk, bias mitigation, quality reviews).
• Experience with PyTorch, TensorFlow or equivalent AI functions.

Responsibilities

• People Leadership: Build/retain an engineering team; provide coaching, mentorship, and performance management
• Technical Leadership: Engage in design reviews, architecture decisions, and technical trade-offs; define technical vision with Tech Leads
• Execution: Drive complex hardware-software co-design projects to completion; manage roadmaps, timelines, and risk mitigation
• Cross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Research; represent the team to leadership

Skills

AI/ML systems

Distributed/HPC systems

Model optimization

Mentorship & career planning

AI tooling & integration

PyTorch / TensorFlow

Education

MS or PhD in CS / EE or related

Job description

Meta is seeking a senior engineering leader to guide a team at the intersection of AI, distributed systems, and hardware. The role focuses on driving design decisions, architecture, and strategy to enhance model efficiency, scale, and cost.

You will mentor engineers, manage roadmaps, and collaborate with AI Infra, Hardware Eng, Product, and Research to advance responsible AI practices. The ideal candidate has deep experience in AI/ML systems, HPC architectures, and model optimization, with a