Software Engineer, Machine Learning

Meta is seeking a Machine Learning Software Engineer to join their transformative journey in advancing how people connect worldwide. This role presents an exceptional opportunity to work at the forefront of technology innovation, alongside world-class engineers and researchers.

The position focuses on developing highly scalable machine learning solutions, including classifiers and tools that leverage advanced techniques in data regression and rule-based modeling. You'll be responsible for the entire ML lifecycle, from requirement gathering to implementation, working with cutting-edge parallel computing environments including distributed clusters, multicore SMP, and GPU systems.

As a Machine Learning Engineer at Meta, you'll tackle some of the most challenging social data and prediction problems on the web. The role requires a strong foundation in machine learning, with at least 2 years of hands-on experience in areas such as recommendation systems, pattern recognition, and artificial intelligence. Proficiency in frameworks like PyTorch or TensorFlow is essential, along with strong programming skills in languages such as Python and JavaScript.

The ideal candidate will bring not just technical expertise but also the ability to translate complex insights into actionable business recommendations. You'll be working in Singapore, contributing to Meta's suite of products that includes Facebook, Instagram, WhatsApp, and their emerging AR/VR technologies.

Meta offers a unique environment where you can impact billions of users while working on unprecedented challenges in social technology. The company is particularly focused on pushing boundaries beyond traditional 2D screens toward immersive experiences in augmented and virtual reality, making this an exciting time to join the team.

This role is perfect for someone who thrives in a fast-paced environment, has a passion for machine learning, and wants to be part of shaping the future of digital connection. You'll have the opportunity to work on projects that have never been done before, contributing to Meta's mission of helping people connect and build communities worldwide.