ML RecSys Engineer: Personalization at Scale (Equity)

Meta; Augusta (ME); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking talented ML engineers to join teams building cutting-edge products aimed at connecting billions of people. You will tackle complex technical challenges, ship scalable recommender systems, and drive end-to-end ownership of features across mobile and web platforms.

You will work with cross-functional partners to deliver high-quality models from design to business impact, while improving performance, reliability and user experience at scale.

Qualifications

• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
• Experience with scripting languages such as Python, Javascript or Hack
• Experience with developing machine learning 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, appropriate testing, proper rollout, monitoring, and proactive changes

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

Skills

Python

JavaScript

Hack

C/C++

Java

Perl

Shell scripting

PyTorch

Education

Master's degree in Computer Science or ML related field

PhD in Computer Science or ML

Tools

TensorFlow

PyTorch

Job description

Meta is seeking talented ML engineers to join teams building cutting-edge products aimed at connecting billions of people. You will tackle complex technical challenges, ship scalable recommender systems, and drive end-to-end ownership of features across mobile and web platforms.

You will work with cross-functional partners to deliver high-quality models from design to business impact, while improving performance, reliability and user experience at scale.