About the job
Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.
Responsibilities
Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
Collaborate with other teams to productionize state-of-the-art AI algorithms
Optimize models for performance, efficiency, and on-device intelligence
Implement machine learning systems with stringent privacy and security requirements
May also be required to manage a small team of engineers.
Qualifications
Minimum
MS or PhD in Computer Science, Machine Learning, or related technical field
Expert-level programming skills in Python
Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow
Strong background in: Distributed training, Model optimization, and Machine learning infrastructure
Experience with large-scale model training and deployment
Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure)
Distributed computing frameworks
Preferred
Experience with foundation models and large language models
Background in multi-modal AI systems
Demonstrated ability to transform research prototypes into production systems
Published research or significant contributions to open-source ML projects
Understanding of on-device machine learning techniques