ML Engineering Lead: Recommender Systems & Scalability

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

Job summary

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. You will work on complex technical problems, create new features, and improve existing products across platforms, including mobile and web.

You will collaborate with cross-functional teams to implement innovative experiences, lead initiatives, and architect scalable systems that drive impact at scale.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field (or equivalent practical experience).
• 4+ years of software engineering experience (3+ years if PhD).
• 3+ years in ML, RecSys, AI, or related field.
• Experience building ML models at scale from inception to business impact.
• Proficiency in C/C++, Java, or scripting languages like Python, Perl, PHP, or shell scripts.
• Experience with Python, JavaScript, or Hack.
• Proven leadership in major initiatives and setting technical direction.
• Experience designing or deploying recommendation systems (collaborative, content-based, or hybrid).
• Hands-on work with large language models (LLMs) including fine-tuning or production use.
• Experience delivering high-quality work with reliability and impact.
• Ability to use data to explain technical problems and provide solutions.
• Proven technical leadership in owning projects and shaping direction.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency, and performance.
• Lead complex technical or product initiatives and guide peers.
• Architect efficient, scalable systems for complex applications.
• Identify and resolve 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

RecSys

Leadership

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Computer Science or related field

Tools

C/C++

Java

Python

Perl

PHP

Shell scripts

JavaScript

Hack

PyTorch

TF

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. You will work on complex technical problems, create new features, and improve existing products across platforms, including mobile and web.

You will collaborate with cross-functional teams to implement innovative experiences, lead initiatives, and architect scalable systems that drive impact at scale.