Software Engineer, Machine Learning

Meta is seeking a Senior Machine Learning Engineer to spearhead transformative changes in their technology landscape. This role presents a unique opportunity to work at the forefront of social technology evolution, developing cutting-edge machine learning solutions that impact billions of users worldwide.

The position requires a seasoned professional with extensive experience in recommendation systems, classification problems, and optimization. You'll be responsible for managing the complete machine learning lifecycle, from conception to deployment, while working alongside world-class engineers and researchers. The role involves tackling complex social data and prediction challenges that are unique to Meta's scale and scope.

As a Senior ML Engineer, you'll lead projects and small teams, driving technical excellence and innovation. Your responsibilities will span from adapting ML methods for modern parallel environments to developing highly scalable classifiers and tools. The role requires both technical expertise and leadership skills, as you'll be setting technical direction and fostering cross-functional partnerships.

Meta offers a competitive compensation package ranging from $70,670 to $208,000 annually, plus bonus and equity opportunities. The company provides a comprehensive benefits package and the chance to work on technologies that connect billions of people globally. You'll be part of Meta's journey beyond traditional social media into immersive technologies like AR and VR.

The ideal candidate will bring 6+ years of software engineering experience (or 3+ with a PhD), strong expertise in machine learning and related technologies, and a proven track record of delivering high-impact solutions. You'll need proficiency in languages like Python, Java, and JavaScript, along with experience in building and deploying ML models at scale.

This role offers the opportunity to shape the future of digital connection at one of the world's most influential technology companies. You'll be working on projects that go beyond current technological boundaries, helping to define the next evolution of social technology and human interaction in the digital age.