Software Engineer (Technical Leadership) - Machine Learning

Meta is seeking an experienced Machine Learning Technical Leader to join their engineering team, offering a competitive compensation package of $213,000-$293,000 plus bonus and equity. This role combines technical expertise with leadership responsibilities, requiring 12+ years of programming experience and 8+ years in machine learning or related fields.

The position involves working on some of the most exciting and massive social data and prediction problems on the web. You'll be responsible for developing highly scalable classifiers and tools using machine learning, while also driving the team's technical direction and organizational efficiency. The role requires expertise in adapting machine learning methods for modern parallel environments and leading projects with industry-wide impact.

As a Technical Leader, you'll collaborate with organization leaders to improve team performance, mentor senior engineers, and influence strategic decisions. You'll need to effectively communicate complex features and systems, understand industry trends, and develop new technologies. The role demands both technical depth and leadership skills, including the ability to plan multi-year roadmaps and drive large cross-functional engineering efforts.

Meta offers a comprehensive benefits package and the opportunity to work on technologies that connect billions of people worldwide. The company is at the forefront of social technology innovation, moving beyond traditional platforms into augmented and virtual reality. This role provides a unique opportunity to shape the future of digital connection while working with cutting-edge machine learning technologies at massive scale.

The ideal candidate will have experience with various classification and optimization problems like payment fraud, click-through rate prediction, search ranking, or recommendation systems. You'll be joining a company that's committed to pushing the boundaries of what's possible in social technology, making this an excellent opportunity for someone looking to make a significant impact in the field of machine learning while taking on a technical leadership role.