ML Engineer, Recommender Systems

Meta; Sunnyvale (CA); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta in Sunnyvale seeks talented Machine Learning engineers to join our teams building cutting-edge products that connect billions of people worldwide. You will work on complex technical problems across mobile and web platforms, collaborating with product, design, and operations to push user experiences forward.

You will prototype and deploy ML models, optimize performance, and contribute to end-to-end system design—from data pipelines to front-end interfaces—with a strong emphasis on impact and

Qualifications

• BS in CS or related field or equivalent practical experience.
• 2+ years programming in a relevant language.
• 1+ year ML/RecSys, LLMS, or AI experience.
• Proficiency with Python, JavaScript, or Hack.
• Experience deploying ML models at scale.

Responsibilities

• Collaborate with cross-functional teams to build innovative experiences.
• Implement UIs using current programming techniques.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality and performance.
• Lead complex technical or product efforts and provide guidance.
• Architect scalable systems for complex applications.
• Identify and resolve performance issues.
• Work across multiple languages and technologies.
• Own components, features, or systems end-to-end.

Skills

ML

RecSys

Python

JavaScript

C/C++

Java

Shell

PyTorch

TensorFlow

LLMs

System design

Education

Bachelor's degree in Computer Science or related field

Masters/PhD in CS or ML (preferred)

Tools

Python

JavaScript

C/C++

Java

PyTorch

TensorFlow

Scripting (Perl, PHP, Shell)

Job description

Meta in Sunnyvale seeks talented Machine Learning engineers to join our teams building cutting-edge products that connect billions of people worldwide. You will work on complex technical problems across mobile and web platforms, collaborating with product, design, and operations to push user experiences forward.

You will prototype and deploy ML models, optimize performance, and contribute to end-to-end system design—from data pipelines to front-end interfaces—with a strong emphasis on impact and