Meta is seeking an experienced Machine Learning Technical Leader to join their Business AI team in a role that combines technical expertise with leadership responsibilities. This position offers an opportunity to work on some of the most exciting and massive social data and prediction problems that exist on the web.
The role requires a seasoned professional with 12+ years of programming experience and 8+ years of specialized experience in machine learning, recommendation systems, NLP, or AI. As a Technical Leader, you'll be responsible for driving the team's technical direction, developing scalable machine learning solutions, and leading cross-functional initiatives that have industry-wide impact.
Meta offers a competitive compensation package ranging from $213,000 to $293,000 annually, plus bonus, equity, and comprehensive benefits. The position is based in Menlo Park, CA, at Meta's headquarters, where you'll work alongside some of the industry's brightest minds in AI and machine learning.
The ideal candidate will have a proven track record of launching new products from conception to deployment, experience in mentoring and influencing engineers across organizations, and the ability to navigate uncertain and ambiguous environments. You'll be working on cutting-edge problems in classification and optimization, such as payment fraud, click-through rate prediction, search ranking, and recommendation systems.
At Meta, you'll be part of a company that's shaping the future of social technology, moving beyond 2D screens toward immersive experiences in AR and VR. The company's commitment to innovation, coupled with its massive scale and impact, makes this an exceptional opportunity for a technical leader who wants to make a significant impact in the AI and machine learning space.
The role offers the chance to work with Meta's vast data resources and advanced infrastructure, while collaborating with teams across the organization to develop solutions that affect billions of users. If you're passionate about applying machine learning to solve complex business problems and want to lead technical initiatives at one of the world's most influential technology companies, this role presents an excellent opportunity for career growth and impact.