Software Engineer, Machine Learning

Meta is seeking a Software Engineer specializing in Machine Learning to join their team in Menlo Park. This role sits at the intersection of large-scale engineering and cutting-edge machine learning, focusing on developing solutions for massive social data and prediction problems.

The position offers an exciting opportunity to work on a wide range of ML applications, from ranking and classification to recommendation systems and optimization problems. You'll be developing highly scalable systems and algorithms leveraging deep learning, while working with state-of-the-art technologies and frameworks like PyTorch, TensorFlow, and distributed computing systems.

As a Machine Learning Engineer at Meta, you'll be part of a team that's pushing the boundaries of what's possible in social technology. You'll work on problems that affect billions of users, developing solutions that need to operate at unprecedented scale. The role requires both strong software engineering fundamentals and deep machine learning expertise.

The ideal candidate will have a Master's degree in Computer Science or related field, with strong programming skills in languages like Python, Java, and C++. You should have experience with ML frameworks, distributed systems, and a track record of building scalable solutions. You'll be working in an environment that values innovation and research, with opportunities to contribute to Meta's next generation of products and services.

Meta offers a competitive compensation package including a base salary range of $229,501 to $240,240, plus bonus, equity, and comprehensive benefits. You'll be working at Meta's Menlo Park headquarters, collaborating with some of the best minds in the industry and having the opportunity to impact products used by billions of people worldwide.

This role represents an excellent opportunity for someone who wants to work at the forefront of machine learning and large-scale engineering, with the resources and impact potential that come with working at one of the world's leading technology companies.