ML Recommender Systems Engineer | Equity & Benefits

Meta; Juneau (AK); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta seeks talented Machine Learning engineers to join our teams, building cutting-edge products that connect billions of people worldwide. You will work on complex problems and ship features across mobile and web platforms, shaping user experiences at scale.

Collaborate with product, design, and infra teams; design scalable systems; and drive high-quality ML solutions with measurable user impact. This role emphasizes end-to-end ownership and technical leadership.

Qualifications

• 2+ years in machine learning, recommender systems or related field.
• Experience building ML models at scale with business impact.
• Strong knowledge of Python/Java/C/C++ and scripting languages.
• Track record of leading cross-functional partnerships and technical direction.
• Experience designing or deploying recommender systems and ensuring reliability.
• Experience with code reviews, testing, rollout, monitoring and improvements.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Develop reusable software components for interfacing with back-end platforms
• Analyze and optimize code for quality, efficiency, and performance
• Lead complex technical or product efforts and provide technical guidance to peers
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding

Skills

ML experience

Recommendation systems

Python

Java

C/C++

Shell scripting

Cross-functional leadership

System design

Performance tuning

End-to-end ownership

Education

Master's or PhD in CS/ML

Tools

PyTorch

TensorFlow

Job description

Meta seeks talented Machine Learning engineers to join our teams, building cutting-edge products that connect billions of people worldwide. You will work on complex problems and ship features across mobile and web platforms, shaping user experiences at scale.

Collaborate with product, design, and infra teams; design scalable systems; and drive high-quality ML solutions with measurable user impact. This role emphasizes end-to-end ownership and technical leadership.