AI Platform Engineer — Systems & Infrastructure

Meta; Menlo Park (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Research Engineer specializing in AI to define and drive the technical direction of AI systems powering products used by billions. You will architect and deliver large-scale AI infrastructure, foundational model capabilities, and intelligent systems spanning Meta's apps and platforms.

You will identify hard problems at the intersection of AI research and production engineering, translate advances into reliable, high-impact systems, and set technical standards for building and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 3+ years of software engineering experience with a focus on AI, machine learning systems, or large-scale distributed systems.
• Experience architecting and owning production AI or ML platforms at scale, including reliability and performance.
• Experience defining technical strategy and driving execution across multiple engineering teams.
• Experience identifying and resolving systemic issues in AI pipelines across model, data, and infra.
• Experience establishing engineering standards, architectural patterns, and verification practices for AI development.
• Experience building or contributing to large-scale foundation model training infrastructure.
• Experience with AI inference optimization techniques and hardware-aware development.
• Collaboration with policy, privacy, or integrity teams for responsible AI deployment.

Responsibilities

• Identify and solve the most complex AI systems challenges across the organization, including model training, inference optimization, and deployment pipelines.
• Architect extensible, reliable foundations for AI infrastructure enabling teams to build ML models at scale.
• Define technical strategy and roadmap for AI platform capabilities with cross-functional alignment.
• Drive cross-functional execution of multi-year AI initiatives with measurable progress.
• Establish testing frameworks and verification standards to prevent model correctness issues in production.
• Identify and resolve systemic performance bottlenecks across the AI stack from data to real-time inference.
• Collaborate with AI research teams to translate advances into production systems delivering measurable improvements.
• Mentor engineers on AI systems design, debugging techniques, and engineering best practices.
• Evaluate emerging AI technologies to assess applicability and risk to Meta's AI strategy.
• Collaborate with legal, policy, and compliance teams to ensure privacy and integrity standards.

Skills

AI systems design

Distributed systems

Technical leadership

Research to production

Model training infra

Inference optimization

Cross-functional

Education

Bachelor's degree in CS or related field

Tools

TensorFlow

PyTorch

Distributed training

Job description

Meta is seeking a Research Engineer specializing in AI to define and drive the technical direction of AI systems powering products used by billions. You will architect and deliver large-scale AI infrastructure, foundational model capabilities, and intelligent systems spanning Meta's apps and platforms.

You will identify hard problems at the intersection of AI research and production engineering, translate advances into reliable, high-impact systems, and set technical standards for building and