Software Engineer, Machine Learning

Meta is seeking a Software Engineer specializing in Machine Learning to join their team in Menlo Park. This role offers an exciting opportunity to work on massive-scale machine learning problems at one of the world's leading technology companies. The position combines software engineering with machine learning expertise, focusing on developing highly scalable systems and algorithms for social data and prediction problems.

The role involves working on diverse challenges including ranking, classification, recommendation systems, and optimization problems. You'll be developing solutions that leverage deep learning and other advanced ML techniques, while working with modern parallel computing environments. The position requires expertise in both traditional software engineering and machine learning, with hands-on experience in frameworks like PyTorch or TensorFlow.

As part of Meta's engineering team, you'll be at the forefront of technology that impacts billions of users across platforms like Facebook, Instagram, and WhatsApp. The company is also pushing boundaries in AR/VR technology, offering opportunities to work on next-generation social experiences. The compensation package is competitive, ranging from $222,772 to $240,240 annually, plus bonus, equity, and comprehensive benefits.

The ideal candidate will have a bachelor's degree in a technical field and at least two years of relevant experience. Strong programming skills in multiple languages, experience with distributed systems, and a solid understanding of machine learning principles are essential. This is an excellent opportunity for someone looking to work on challenging problems at scale while contributing to products that connect people worldwide.

Meta offers a collaborative work environment, competitive compensation, and comprehensive benefits. The company is committed to diversity and inclusion, providing equal opportunities for all qualified candidates. Join Meta to be part of a team that's shaping the future of social technology and human connection.