Participate in cutting-edge research in machine intelligence and machine learning applications.
Contribute to AI/ML framework design.
Take a top-down approach towards system design starting from a use case of relevance to Apple products, defining a problem statement, and arriving at groundbreaking innovative solutions.
Set up large-scale tests and deploy promising ideas quickly and broadly.
From creating experiments and prototyping implementations to designing new architectures, and developing solutions for real-world, large-scale problems.
Requirements & Skills:
BS and 3+ years of relevant experience.
Direct experience in solving interdisciplinary problems via machine learning (ML)
Publications in top machine learning conferences/journals such as JMLR, ICLR, NeurIPS, ICML, ACL, and CVPR.
Knowledge in Algorithms, Optimization, Probability, Statistics, and Information Theory Working experience in one or more of the following research directions in Neural Networks: Deep Reinforcement Learning, Federated Learning, Transformer, Transfer Learning, Online Learning, Generative Neural Networks, Graph Neural Network, CNN, RNN, etc.
Shown track record of innovation in AI/ML Programming experience in Python, and MATLAB.
Demonstrate clarity of thought and strong analytical and problem-solving skills.
Ability to work well both independently and within a team.
Excellent communication and presentation skills.
Familiarity with efficient implementation of AI/ML in hardware.
