ML Recommender Systems Engineer – Scalable Impact

Meta; Montpelier (VT); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking talented Machine Learning engineers to join our teams building cutting-edge products that connect billions of people worldwide. You will tackle complex technical problems, build new features, and improve existing products across mobile and web platforms.

Responsibilities include collaborating with cross-functional teams, implementing UI components, developing reusable back-end interfaces, and driving performance improvements.

Qualifications

• 3+ years of software engineering experience; 2+ years with a PhD

Responsibilities

• Collaborate with product/design/ops/infrastructure to build innovative experiences
• Implement UI components using modern techniques
• Develop reusable components interfacing with back-end platforms
• Analyze and optimize code for quality, efficiency, and performance
• Lead complex technical efforts and guide peers
• Architect efficient, scalable systems for complex apps
• Identify and resolve performance and scalability issues
• Work across multiple programming languages and technologies
• Establish ownership of features or systems with end-to-end responsibility

Skills

Cross-functional collaboration

UI development

Backend interfacing

Code analysis & optimization

Technical leadership

System architecture

Performance optimization

Diverse programming languages

Ownership of components

ML engineering fundamentals

Education

Bachelor's degree in CS/Engineering or equivalent

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

Tools

PyTorch

TensorFlow

Job description

Meta is seeking talented Machine Learning engineers to join our teams building cutting-edge products that connect billions of people worldwide. You will tackle complex technical problems, build new features, and improve existing products across mobile and web platforms.

Responsibilities include collaborating with cross-functional teams, implementing UI components, developing reusable back-end interfaces, and driving performance improvements.