Meta, a global technology leader formerly known as Facebook, is seeking a Senior 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 that impact billions of users worldwide. The position combines deep technical expertise in ML with practical software engineering, focusing on developing highly scalable systems and algorithms using cutting-edge deep learning techniques.
The role involves working on diverse and challenging problems ranging from payment fraud detection to ads ranking and recommendation systems. You'll be responsible for designing and implementing ML solutions that can efficiently process and analyze enormous datasets, while working with modern parallel computing environments including distributed clusters, multicore SMP, and GPU systems.
As a Senior ML Engineer at Meta, you'll join a company that's at the forefront of social technology innovation, now expanding beyond traditional social media into immersive technologies like AR and VR. The position offers competitive compensation ($264,014-$290,180/year) plus bonus and equity, along with comprehensive benefits.
The ideal candidate will bring 5+ years of experience in machine learning and distributed systems, with a strong computer science foundation. You'll work with minimal supervision, making key technical decisions that impact Meta's core products and billions of users. This is an excellent opportunity for someone who wants to work on cutting-edge ML problems at unprecedented scale, while helping shape the future of social technology and digital connection.
Meta offers a collaborative environment where you'll work alongside some of the best minds in technology, with access to state-of-the-art computing resources and the opportunity to solve complex technical challenges. The company's commitment to pushing technological boundaries and its massive user base make this an exciting opportunity for engineers who want to make a significant impact through their work.