Software Engineer, Machine Learning

Meta, a global leader in social technology, is seeking a Senior Software Engineer specializing in Machine Learning to join their team in New York. This role presents an exciting opportunity to work on massive-scale machine learning problems that impact billions of users worldwide.

The position requires expertise in developing highly scalable systems and algorithms using cutting-edge machine learning techniques. You'll be working on diverse challenges ranging from recommendation systems and classification problems to optimization and fraud detection, all while leveraging deep learning and advanced AI technologies.

As a Machine Learning Engineer at Meta, you'll be responsible for researching, designing, and implementing sophisticated ML solutions that power various aspects of Meta's products. The role involves working with massive datasets and developing solutions that can scale efficiently across distributed systems. You'll collaborate with cross-functional teams to identify technical requirements and create innovative solutions that push the boundaries of what's possible in social technology.

The ideal candidate should have a Master's degree in Computer Science or related field, along with substantial experience in machine learning frameworks like PyTorch or TensorFlow. Strong programming skills in Python, PHP, and SQL are essential, as is experience with distributed systems and scalable architecture.

Meta offers a competitive compensation package, including a base salary range of $229,801 to $240,240, plus bonus and equity opportunities. The company provides comprehensive benefits and the chance to work on technologies that impact billions of users. This is an excellent opportunity for someone passionate about machine learning who wants to work at the forefront of social technology innovation, particularly as Meta moves into new frontiers like augmented and virtual reality.

Working at Meta means joining a company that's constantly pushing the boundaries of technology while maintaining a strong focus on connecting people worldwide. The role offers significant growth opportunities and the chance to work with some of the best minds in the industry while tackling challenging problems at an unprecedented scale.