Lead ML Engineer, Recommender Systems & Scalable AI

Meta; Redmond (WA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta in Redmond, WA is seeking experienced Machine Learning engineers to join teams building cutting-edge products that connect billions of people worldwide. You will tackle complex technical problems, ship ML models at scale, and collaborate across product, design, operations, and infrastructure to enhance user experiences on mobile and web platforms.

You will work with large language models, optimize performance, and contribute to end-to-end ownership of components with high reliability.

Qualifications

• 3+ years in ML, recommender systems, or AI.
• Experience building ML models at scale end-to-end.
• Proficient in C/C++ and Java; scripting with Python/Perl/PHP/shell.
• Proficient with Python, JavaScript, or Hack.
• Proven track record leading major initiatives and setting technical direction.
• Experience designing, building, or deploying recommender systems.
• Hands-on with large language models (LLMs) in production.
• Experience delivering high-quality, reliable software.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Architect scalable systems and lead technical initiatives.
• Analyze and optimize code for quality, efficiency, and performance.
• Work across multiple languages and back-end platforms.

Skills

Machine learning

Recommendation systems

C/C++

Java

Python

JavaScript

Technical leadership

LLMs

System scalability

Data-driven

Job description

Meta in Redmond, WA is seeking experienced Machine Learning engineers to join teams building cutting-edge products that connect billions of people worldwide. You will tackle complex technical problems, ship ML models at scale, and collaborate across product, design, operations, and infrastructure to enhance user experiences on mobile and web platforms.

You will work with large language models, optimize performance, and contribute to end-to-end ownership of components with high reliability.