Software Engineer (Machine Learning)

Meta (formerly Facebook) is seeking a Senior Software Engineer specializing in Machine Learning to join their team in Seattle. This role presents an exciting opportunity to work at the forefront of social technology and artificial intelligence.

The position requires a Master's degree and 3 years of experience, focusing on developing and implementing machine learning solutions at scale. You'll be working on crucial problems in ranking, classification, recommendation systems, and optimization, directly impacting billions of users across Meta's family of apps including Facebook, Instagram, and WhatsApp.

As a Machine Learning Engineer at Meta, you'll be responsible for researching and developing highly scalable systems and algorithms using cutting-edge deep learning techniques. The role involves working with massive social data sets and prediction problems, requiring expertise in distributed systems and various ML frameworks such as PyTorch, MXNet, or Tensorflow.

The ideal candidate will have strong programming skills in multiple languages (C++, Java, Python), experience with big data technologies (Hadoop, Spark), and a solid understanding of distributed systems. You'll be working in a collaborative environment, translating complex technical insights into business recommendations and developing solutions that can scale to Meta's massive user base.

Meta offers a competitive compensation package ranging from $235,000 to $290,180 annually, plus bonus and equity opportunities. The company provides comprehensive benefits and the chance to work on technology that impacts billions of people globally. You'll be at the forefront of Meta's evolution beyond traditional social media into immersive technologies like AR and VR.

This role offers the unique opportunity to work on challenging technical problems while contributing to the next generation of social technology. You'll be part of a team that's pushing the boundaries of what's possible in machine learning and artificial intelligence, making this an ideal position for someone who wants to make a significant impact in the tech industry.