Software Engineer (Technical Leadership) - Machine Learning

Meta is seeking an experienced Machine Learning Engineer in a technical leadership position to join their engineering team. This role combines deep technical expertise with leadership responsibilities, focusing on developing and implementing machine learning solutions at scale.

The position offers an opportunity to work on some of the most exciting and massive social data and prediction problems on the web. The ideal candidate will bring extensive experience in classification and optimization problems, including payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, and spam detection.

As a Technical Leader in Machine Learning, you'll be responsible for driving the team's technical direction and goals, while working on sophisticated ML systems that impact millions of users across Meta's family of apps (Facebook, Instagram, WhatsApp, and Messenger). You'll need to effectively communicate complex technical concepts, mentor other engineers, and collaborate with cross-functional teams to drive innovative solutions.

The role requires a strong technical foundation with at least 12 years of programming experience and 8+ years in machine learning or related fields. You'll be working with modern parallel environments, including distributed clusters, multicore SMP, and GPU systems, adapting ML methods to maximize their potential in these environments.

At Meta, you'll be part of a company that's pushing the boundaries of social technology, moving beyond traditional social media into immersive experiences like augmented and virtual reality. The position offers competitive compensation ($213,000-$293,000/year) plus bonus, equity, and comprehensive benefits.

This is an excellent opportunity for a seasoned ML engineer who wants to make a significant impact at scale, lead technical initiatives, and help shape the future of social technology. You'll be working in Menlo Park, CA, where you'll have the chance to collaborate with some of the best minds in the industry and work on problems that affect billions of users worldwide.