Software Engineer, Machine Learning

Meta (formerly Facebook) is seeking a Software Engineer specializing in Machine Learning to join their team in New York. This role offers an exciting opportunity to work on technology that impacts billions of users worldwide through Meta's suite of products including Facebook, Instagram, WhatsApp, and their emerging AR/VR initiatives.

The position combines software engineering expertise with machine learning applications, requiring strong programming skills in languages like C++, JavaScript, and proficiency with modern web technologies. You'll be working on large-scale distributed systems that power Meta's core products and future innovations in social technology.

As a Software Engineer in the Machine Learning team, you'll be responsible for researching, designing, and developing operating systems-level software, compilers, and network distribution software. You'll build and improve features that directly impact Meta's global user base, working on high-volume servers and web applications that need to scale to billions of users.

The role offers competitive compensation ranging from $214,032 to $240,240 annually, plus bonus and equity opportunities. Meta provides a comprehensive benefits package and the chance to work with cutting-edge technology in a dynamic environment.

Key responsibilities include producing high-quality code with good test coverage, working independently while collaborating with teams, and maintaining a strong understanding of Meta's product ecosystem. You'll need a Bachelor's degree in Computer Science or related field, experience with various programming languages and frameworks, and strong problem-solving abilities.

This position offers the opportunity to work on challenging technical problems at scale, contribute to products that connect people worldwide, and be part of Meta's evolution into new technological frontiers, including augmented and virtual reality. You'll be joining a company that's at the forefront of social technology innovation, with the resources and scale to make a significant impact on how people connect and interact globally.