Senior Software Engineer, Machine Learning Infrastructure

Meta is hiring a Senior Software Engineer to join our Machine Learning Infrastructure team. You will play a key role in building and scaling the systems that enable Meta's AI researchers and engineers to develop and deploy world-leading machine learning models. This is an opportunity to work on highly scalable, distributed systems that power one of the largest AI organizations in the world. Responsibilities: - Design, develop, and maintain robust and scalable ML infrastructure, including training, inference, and data processing platforms. - Optimize ML workflows for performance, efficiency, and reliability. - Collaborate with ML researchers and engineers to understand their needs and provide efficient solutions. - Implement best practices for software development, testing, and deployment. - Contribute to the evolution of our internal ML tools and frameworks. Requirements: - BS/MS in Computer Science or a related technical field, or equivalent practical experience. - 5+ years of experience in software engineering, with a focus on distributed systems and infrastructure. - Strong programming skills in C++ or Python. - Experience with ML frameworks (PyTorch, TensorFlow) and ML infrastructure concepts (e.g., distributed training, hyperparameter tuning, model serving). - Familiarity with cloud platforms and containerization technologies (e.g., Kubernetes). Benefits: Meta offers competitive salaries, bonuses, stock awards, comprehensive health coverage, 401(k) matching, and a culture that emphasizes innovation and impact.