Machine Learning Researcher
Core
Conduct fundamental machine learning research to create innovative methodologies, models, and systems for mobile, edge, auto, and IoT products.
Role type
Senior IC machine learning researcher (research & systems innovation)
Builds
Novel ML models, efficient on-device/cloud systems, and new compute paradigms
Domain
Mobile, Edge, Auto, IoT, Hardware-Software Systems
Deliverable
research
Required skills
Machine learning research, deep generative models, Bayesian deep learning, reinforcement learning, graph neural networks, model compression, quantization, architecture search, auto-ML, on-device learning, federated learning, quantum machine learning, algorithm development, patentable idea generation
Preferred skills
PhD in CS/EE/CE, publications at ML conferences, experience in large matrixed organizations, interaction with senior leadership, experience with new ML methodologies
Technologies
TensorFlow, PyTorch, C++, Python, CUDA, Model compilers, Quantum computing frameworks
Responsibilities
Conduct fundamental research to create new models or training methods; Drive systems innovations for model efficiency on device and cloud; Perform platform research for new ML compute paradigms; Develop and publish research findings; Conduct research and develop innovative/patentable ideas; Develop, test, optimize, and document complex ML algorithms
Seniority
Senior, independent contributor with strategic influence
