Software Engineer (Technical Leadership) - Machine Learning

Meta is seeking an experienced Machine Learning Technical Leader to join their engineering team, focusing on developing and scaling machine learning solutions across their suite of products including Facebook, Instagram, WhatsApp, and Messenger. This role combines technical leadership with hands-on machine learning engineering, requiring both deep technical expertise and strong leadership capabilities.

The position involves working on some of the most challenging and massive-scale machine learning problems in the industry, including classification, optimization, fraud detection, recommendation systems, and natural language processing. As a technical leader, you'll be responsible for driving the team's technical direction, mentoring senior engineers, and planning multi-year technical roadmaps that align with Meta's strategic goals.

The ideal candidate brings 12+ years of programming experience and 8+ years of specialized machine learning expertise, with a proven track record of leading industry-wide impact projects. You'll be expected to adapt machine learning methods to modern parallel computing environments and develop highly scalable solutions that can serve Meta's billions of users.

This role offers an exceptional opportunity to work at the intersection of technical leadership and cutting-edge machine learning, with access to unique datasets and problems at unprecedented scale. The position comes with competitive compensation ($213,000-$293,000/year), plus bonus, equity, and comprehensive benefits. You'll be joining Meta's AI Infrastructure team, contributing to the company's ambitious goals in artificial intelligence and machine learning across all its platforms.

Working at Meta means being part of a company that's building the future of digital connection and social technology, now expanding beyond traditional social media into areas like augmented and virtual reality. The role offers the chance to shape the future of machine learning applications at global scale while leading and mentoring teams of talented engineers.