Lead ML Engineer – Recommender Systems

Meta; Burlingame (CA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta seeks talented Machine Learning engineers to join teams building cutting-edge products that connect billions of people worldwide. You will tackle complex problems, ship new features, and improve experiences across mobile and web platforms.

As a Software Engineer Leadership in ML RecSys, you will collaborate with product, design and infra, architect scalable systems, lead major initiatives, and apply ML models at scale, including LLMs, to drive measurable impact.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 4+ years in software engineering; 3+ years if PhD.
• 3+ years in ML, recommender systems, or AI.
• Experience with ML models at scale and production.
• Proficiency in C/C++ and Java; scripting in Python, Perl, PHP, or shell.
• Experience with Python, JavaScript, or Hack scripting.
• Lead initiatives and set technical direction.

Responsibilities

• Collaborate with cross-functional teams to build innovative experiences.
• Implement UI components and interface with back-end platforms.
• Develop reusable software for scalable systems.
• Analyze code quality, efficiency, and performance.
• Lead major technical or product efforts and provide guidance.
• Architect scalable systems for complex applications.
• Identify and resolve performance and scalability issues.
• Work across multiple programming languages and technologies.

Skills

Machine learning

Recommendation systems

LLMs

C/C++

Java

Python

Education

Bachelor's degree in CS/Engineering or equivalent

Master's degree or PhD preferred

Tools

PyTorch

TensorFlow

Job description

Meta seeks talented Machine Learning engineers to join teams building cutting-edge products that connect billions of people worldwide. You will tackle complex problems, ship new features, and improve experiences across mobile and web platforms.

As a Software Engineer Leadership in ML RecSys, you will collaborate with product, design and infra, architect scalable systems, lead major initiatives, and apply ML models at scale, including LLMs, to drive measurable impact.