Software Engineer, Machine Learning

Meta is seeking a Software Engineer specializing in Machine Learning to join their team in Menlo Park, CA. This role offers an exciting opportunity to work at one of the world's leading technology companies, focusing on developing cutting-edge machine learning solutions for massive social data and prediction problems.

The position requires a Master's degree in Computer Science or related fields and combines deep technical expertise in machine learning with practical software engineering skills. You'll be working on sophisticated ranking, classification, and recommendation systems that power Meta's suite of products used by billions of people worldwide.

As a Machine Learning Engineer at Meta, you'll be responsible for researching, designing, and developing operating systems-level software and network distribution software. You'll work with state-of-the-art deep learning techniques and build highly scalable systems that can efficiently handle massive amounts of data. The role involves collaborating with cross-functional teams, reviewing code, and maintaining high engineering standards.

The compensation package is competitive, ranging from $184,187 to $200,200 per year, plus bonus, equity, and comprehensive benefits. Meta offers a unique opportunity to work on problems that affect billions of users while pushing the boundaries of machine learning and AI technology.

Meta's work environment promotes innovation and collaboration, with access to cutting-edge resources and technologies. You'll be part of a company that's not just maintaining existing systems but actively shaping the future of social technology, including ventures into augmented and virtual reality.

This role is perfect for someone who combines strong theoretical knowledge in machine learning with practical software engineering skills, and who is excited about working on problems that require both deep technical expertise and creative problem-solving abilities. You'll have the opportunity to work on projects that have real-world impact while growing your career at one of the most influential technology companies in the world.