Machine Learning Jobs in Tempe, AZ

Lead simulation-driven development of power modules using multiphysics (electrical, thermal, mechanical) models, digital twins, AI-augmented optimization, and automation to accelerate SiC/GaN power-electronics design and reliability prediction while collaborating with global teams.

Develop and optimize predictive models for credit and risk, leveraging advanced machine learning techniques to improve accuracy and decision quality.

The Vice President of Data Science oversees AI-driven clinical insights and predictive modeling, leading a team to develop novel AI signatures from clinico-genomic data. Responsibilities include strategy execution, model governance, and collaborative efforts across multiple departments to enhance precision medicine.

Provide TCAD modeling and EDA tools support for device design and product engineering. Resolve support tickets, review vendor roadmaps, develop EDA enhancements including AI agents and workflow automation, and work across silicon and wide bandgap technologies.

Develop numerical models and experiments to simulate and improve manufacturing processes, support production transitions for new blade programs, implement AI/ML solutions, expand IP, and mentor site engineers while providing production design and troubleshooting support.

Conduct advanced research and development in LLMs, multimodal models, generative AI, computer vision, and robotics perception. Design, train, evaluate, optimize, and deploy scalable models for cloud, devices, and sensors, including resource-constrained hardware. Lead technical areas, mentor junior scientists, collaborate with engineering teams, evaluate real-world performance, and contribute to patents, publications, documentation, and open-source research.

The Senior ML Operations Engineer is responsible for building and maintaining ML infrastructure, model deployment processes, and collaboration with data teams to optimize predictive modeling solutions.