ML Recommender Systems Engineer – Scalable Impact, Equity

Meta; Trenton (NJ); On-site; USD 184,000 - 257,000; 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 problems, build features, and improve products across mobile and web platforms.

This role offers opportunities to influence collaboration, architecture, and performance at scale within a fast-paced team. Ideal candidates have ML, RecSys, and AI experience, plus strong coding skills in Python/JS/Hack,

Qualifications

• 3+ years in software engineering; 2+ years if you have a PhD.
• 2+ years in ML, RecSys, AI, or related field.
• Experience with Python, Javascript or Hack.
• Experience developing ML models at scale from inception to business impact.
• Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Responsibilities

• Collaborate with cross-functional teams (product, design, operations, infrastructure) 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

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 problems, build features, and improve products across mobile and web platforms.

This role offers opportunities to influence collaboration, architecture, and performance at scale within a fast-paced team. Ideal candidates have ML, RecSys, and AI experience, plus strong coding skills in Python/JS/Hack,