Software Engineer, Machine Learning

Meta is seeking a Senior Machine Learning Engineer to join their transformative journey in advancing how people connect worldwide. This role presents an exceptional opportunity to work at the forefront of machine learning innovation, alongside world-class engineers and researchers.

The position involves leading crucial projects in recommendation systems, classification, and optimization problems at an unprecedented scale. You'll be responsible for owning the complete ML lifecycle, from conception to production, while working with massive social data and prediction challenges unique to Meta's platforms.

As a technical leader, you'll guide teams in developing ML best practices, influence engineering culture, and tackle complex production issues. The role requires expertise in adapting ML methods for modern parallel environments and the ability to make strategic decisions about system architecture and technical debt reduction.

The ideal candidate should have a strong background in software engineering and machine learning, with demonstrated experience in building and deploying ML models at scale. You'll need proficiency in languages like Python, Java, and C++, along with a track record of successful technical leadership and project delivery.

At Meta, you'll be part of a company that's pushing boundaries in social technology, moving beyond traditional social media into immersive experiences like AR and VR. You'll have the opportunity to work on projects that impact billions of users while helping shape the future of digital connection.

The position is based in Tel Aviv, Israel, offering the chance to work in one of Meta's key technical hubs. You'll be part of a diverse, innovative team committed to solving some of the most challenging problems in social technology and machine learning at scale.

Meta offers a competitive compensation package and a culture that values technical excellence, innovation, and impact. They're committed to providing an inclusive work environment and equal opportunities for all qualified candidates, regardless of background.