Meta is seeking a Senior Software Engineer specializing in Machine Learning to join their team in Menlo Park. This role combines advanced machine learning expertise with large-scale software engineering, focusing on developing sophisticated algorithms and systems for social data analysis and prediction.
The position requires expertise in both theoretical machine learning and practical software engineering, working on critical problems like ranking, classification, recommendation systems, and optimization. You'll be developing highly scalable systems that leverage deep learning and other advanced ML techniques, while working with massive datasets and state-of-the-art infrastructure.
As a Machine Learning Engineer at Meta, you'll have the opportunity to impact billions of users through your work on various products like Facebook, Instagram, and WhatsApp. The role involves collaborating with cross-functional teams to design and implement ML solutions that can scale to Meta's massive user base.
The ideal candidate will have a strong foundation in computer science (Master's degree required) combined with practical experience in machine learning frameworks, distributed systems, and various programming languages. You'll need to be comfortable working with both low-level systems programming and high-level ML frameworks, with experience in technologies like PyTorch, Hadoop, and various programming languages.
Meta offers a competitive compensation package including a base salary range of $230,400-$240,240, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity to work on cutting-edge ML problems at unprecedented scale, while contributing to products that connect billions of people worldwide.
The role offers significant growth potential within Meta's engineering organization, working alongside some of the best minds in machine learning and distributed systems. You'll be at the forefront of developing next-generation AI technologies while helping shape the future of social connection and communication.