ML Recommender Systems Engineer — Scalable AI

Meta; Phoenix (AZ); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products that connect billions of people worldwide. You will tackle complex problems, ship new features, and improve existing products across mobile and web platforms, working with cross-functional teams to drive impact.

Responsibilities include building innovative experiences, implementing UI components, and architecting scalable systems while maintaining high reliability and performance.

Qualifications

• 3+ years of software engineering experience; 2+ years if PhD.
• 2+ years in machine learning, recsys or related AI field.
• Proficient in Python, JavaScript/Hack, or similar scripting languages.
• Experience with ML models at scale and delivering business impact.
• Strong design, code reviews, testing, and reliability focus.
• Bachelor's degree in CS/CE or equivalent

Responsibilities

• Collaborate with product/design/ops to build novel application experiences.
• Implement UI components using modern programming techniques.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency, and performance.
• Lead complex technical efforts and provide guidance to peers.
• Architect scalable systems for large applications.
• Identify and fix performance and scalability issues.
• Work across multiple languages and technologies.
• Own components, features, or systems with end-to-end responsibility.

Skills

Software Engineering

Machine Learning

Python

C/C++

Education

Bachelor's degree in CS/related field

Master's or PhD in CS/ML (preferred)

Tools

TensorFlow

PyTorch

Java

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products that connect billions of people worldwide. You will tackle complex problems, ship new features, and improve existing products across mobile and web platforms, working with cross-functional teams to drive impact.

Responsibilities include building innovative experiences, implementing UI components, and architecting scalable systems while maintaining high reliability and performance.