ML Engineer - Recommender Systems (RecSys)

Meta; City of Albany (NY); 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 that connect billions of people worldwide. You will tackle complex problems, build features, and improve products across platforms, including mobile and web, with user experience at the core.

Join a collaborative environment where you lead technical initiatives, design scalable systems, and drive impact through high-quality, reliable ML solutions and recommendations at scale.

Qualifications

• 3+ years of software engineering experience; 2+ years if you have a PhD.
• 2+ years in machine learning, recommendation systems, AI, or related field.
• Experience with scripting languages such as Python, JavaScript or Hack.
• Experience with 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.
• Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships.
• Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale).
• Experience building and shipping high quality work and achieving high reliability
• Experience improving quality through thoughtful code reviews, testing, rollout, monitoring, and proactive changes
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

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

Machine Learning

Recommendation Systems

Python

JavaScript

Java

C/C++

Cross-functional collaboration

System design

Performance optimization

Education

Bachelor's degree in CS/CE or equivalent

Master's or PhD in ML-related field

Tools

PyTorch

TensorFlow

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products that connect billions of people worldwide. You will tackle complex problems, build features, and improve products across platforms, including mobile and web, with user experience at the core.

Join a collaborative environment where you lead technical initiatives, design scalable systems, and drive impact through high-quality, reliable ML solutions and recommendations at scale.