Machine Learning Engineer — Recommender Systems at Scale

Meta; Richmond (VA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking talented Machine Learning engineers to join our teams to build cutting-edge products connecting billions of people. You will work on complex problems, build new features, and improve products across mobile and web platforms.

You will collaborate with cross-functional teams and lead technical efforts, architect scalable systems, and drive performance improvements while shipping high-quality ML-driven experiences.

Qualifications

• 3+ years of software engineering experience; 2+ years if you have a PhD.
• 2+ years in machine learning, recommender systems, AI, or related field.
• Experience with Python, JavaScript or Hack scripting.
• Experience with developing ML models at scale from inception to business impact.
• Proficiency in C/C++ and Java, or Python, Perl, PHP, or shell scripting.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using modern techniques.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency and performance.
• Lead complex technical or product efforts and provide guidance.
• Architect efficient, scalable systems for complex applications.
• Identify and resolve performance and scalability issues.
• Work with multiple languages and technologies.
• Own components, features, or systems with end-to-end ownership.

Skills

Cross-functional collaboration

UI development

System architecture

Performance optimization

Code reviews

Multi-language development

Ownership mindset

Education

Bachelor's degree in Computer Science or related field

PhD in CS (preferred)

Tools

Python

JavaScript

Java

C/C++

Shell scripting

Job description

Meta is seeking talented Machine Learning engineers to join our teams to build cutting-edge products connecting billions of people. You will work on complex problems, build new features, and improve products across mobile and web platforms.

You will collaborate with cross-functional teams and lead technical efforts, architect scalable systems, and drive performance improvements while shipping high-quality ML-driven experiences.