- Participate in cutting edge research in machine intelligence and machine learning applications - Contribute to AI/ML framework design - Contribute to HW Inference platform architectural studies and Fixed point design- Contribute to ML Toolchain and Compiler studies- Setting up Data Pipelines and Analytics- 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 - Setup large-scale tests and deploy promising ideas quickly and broadly - From creating experiments and prototyping implementations to designing new architectures developing solutions for real world large scale problems
BS and 10 years of relevant experience is required.
Direct experience on solving interdisciplinary problems via machine learning (ML).
Publications in top machine learning conferences/journals such as JMLR ICLR NeurIPS ICML ACL 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 Network Graph Neural Network CNN RNN etc.
Knowledge of Wireless Communications Systems and/or Radar Signal Processing.
Shown track-record of innovation in AI/ML Programming experience in Python 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.
Familiar with ML Toolchain and on-device compilers and runtimes.
Familiar with Data Analytics and ML Ops frameworks.
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