Machine Learning Engineer — Recommender Systems

Meta; Santa Fe (NM); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking talented Machine Learning engineers to join our teams in Santa Fe, NM, building cutting-edge products that connect billions globally. You will tackle complex technical problems, craft new features, and enhance existing products across mobile and web platforms.

You will collaborate with product, design, and infrastructure teams, implement UIs, and develop scalable components with end-to-end ownership.

Qualifications

• 3+ years in software engineering or related field.
• 2+ years in ML, RecSys, AI, or related field.
• Experience with Python, JavaScript or Hack.
• Experience deploying ML models at scale from inception to business impact.
• Bachelor's degree in CS/CE or equivalent practical experience.

Responsibilities

• Collaborate with cross-functional teams to build innovative experiences.
• Implement UIs using modern programming techniques and technologies.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency, and performance.
• Lead complex technical or product efforts and guide peers.
• Architect efficient and scalable systems for complex applications.
• Identify and resolve performance and scalability issues.
• Work with a variety of coding languages and technologies.
• Own components, features, or systems with end-to-end understanding.

Skills

Software engineering

Machine learning

Recommendation systems

Python

C/C++/Java

Cross-functional collaboration

Systems design

Performance optimization

End-to-end ownership

Education

Bachelor's degree

Master's degree

PhD

Tools

Python

JavaScript

C/C++

Java

Pytorch

TensorFlow

Job description

Meta is seeking talented Machine Learning engineers to join our teams in Santa Fe, NM, building cutting-edge products that connect billions globally. You will tackle complex technical problems, craft new features, and enhance existing products across mobile and web platforms.

You will collaborate with product, design, and infrastructure teams, implement UIs, and develop scalable components with end-to-end ownership.