Software Engineer (Leadership) - Machine Learning

Meta is seeking an experienced Machine Learning Engineering leader to join their engineering team in a role that combines technical expertise with leadership responsibilities. This position offers a competitive compensation package ranging from $264,000 to $342,000 annually, plus bonus and equity opportunities.

The ideal candidate will bring 12+ years of programming experience and 8+ years of specialized machine learning expertise to tackle some of the most exciting and massive social data and prediction problems on the web. You'll work on various classification and optimization challenges, including payment fraud, click-through rate prediction, search ranking, and recommendation systems.

As a technical leader, you'll be responsible for driving the team's technical direction and goals, while collaborating with organization leaders to improve team performance. The role involves developing highly scalable classifiers and tools using machine learning, data regression, and rules-based models, as well as adapting machine learning methods for modern parallel environments.

Key responsibilities include leading projects with industry-wide impact, mentoring senior engineers across organizations, and planning multi-year roadmaps that align short-term projects with long-term vision. You'll need to effectively communicate complex features and systems, understand industry trends, and identify new opportunities for the organization.

Meta offers a comprehensive benefits package and promotes an inclusive work environment. The company's mission focuses on building technologies that connect people and communities, extending beyond traditional social media into immersive experiences like AR and VR. This role presents an opportunity to shape the future of social technology while working with cutting-edge machine learning applications at a massive scale.

The position requires a bachelor's degree in Computer Science or related field, strong programming skills in languages like Python and Java, and demonstrated experience in machine learning technologies. You'll be joining a company that's pushing the boundaries of what's possible in social technology, making this an exciting opportunity for someone looking to make a significant impact in the field of machine learning and technical leadership.