Software Engineer (Leadership) - Machine Learning

Meta is seeking experienced Machine Learning Engineers to join their engineering team in a leadership role. This position offers an exciting opportunity to work on massive social data and prediction problems at one of the world's leading tech companies. The ideal candidate will bring extensive experience in classification and optimization problems such as payment fraud, click-through rate prediction, search ranking, and recommendation systems.

The role combines technical leadership with hands-on machine learning engineering, requiring both deep technical expertise and strong leadership capabilities. You'll be responsible for driving technical direction, developing scalable ML solutions, and leading cross-functional initiatives that impact millions of users across Meta's family of apps and technologies.

As a Staff Software Engineer in Machine Learning, you'll work at the intersection of traditional software engineering and cutting-edge machine learning, adapting and optimizing ML methods for modern parallel environments. The position offers the chance to influence the direction of machine learning applications at Meta while mentoring other engineers and driving organizational efficiency.

Meta's commitment to pushing boundaries in social technology, including ventures into AR/VR and the metaverse, makes this an exciting opportunity for those looking to shape the future of human connection. The company offers a collaborative environment where you'll work with talented engineers and researchers, access to massive datasets, and the infrastructure to deploy models at unprecedented scale.

This role is perfect for experienced ML engineers who want to combine technical excellence with leadership impact, working on problems that affect billions of users worldwide while helping to guide the next generation of machine learning innovations at Meta.