Meta, formerly Facebook, is at the forefront of social technology innovation, seeking a Machine Learning Software Engineer to join their team. This role combines cutting-edge AI development with practical applications across Meta's suite of products including Facebook, Instagram, and WhatsApp.
The position offers an exciting opportunity to work on massive-scale machine learning problems, from recommendation systems to computer vision and natural language processing. You'll be developing highly scalable systems and algorithms using state-of-the-art deep learning techniques, while working with some of the largest datasets in the industry.
As a Machine Learning Engineer at Meta, you'll be responsible for researching and implementing solutions for complex prediction problems, optimizing existing systems, and collaborating with cross-functional teams to drive product improvements. The role requires expertise in both traditional software engineering and machine learning, with hands-on experience in frameworks like PyTorch or TensorFlow.
The ideal candidate will have a strong foundation in computer science fundamentals, demonstrated through a Master's degree in a relevant field, and practical experience with distributed systems and large-scale data processing. You'll work in an environment that values innovation and technical excellence, with access to Meta's world-class infrastructure and resources.
Meta offers competitive compensation, including base salary, bonuses, and equity, along with comprehensive benefits. The company's mission to connect people and build immersive experiences through AR/VR technology provides an exciting backdrop for professional growth and impact. You'll be part of a team pushing the boundaries of what's possible in social technology, working on problems that affect billions of users worldwide.
The role is based in the Seattle area, offering the opportunity to work from one of Meta's major tech hubs. You'll be contributing to Meta's evolution beyond traditional social media into the next generation of digital interaction and community building.