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Lead data engineering and AI-driven process mining to optimize semiconductor labor workflows, build dashboards, and drive measurable productivity gains across global sites.
Build AI-driven digital twin and optimization models for semiconductor manufacturing, using Python, SQL, and AI tools to improve production metrics and decision-making.
Lead a team to evaluate, optimize, and govern GenAI-driven claims recommendations using causal analytics, NLP, and responsible AI practices to improve business outcomes.
Senior analyst builds and validates GenAI-driven claims recommendations using causal analytics, NLP, and responsible-AI governance to improve P&C claims outcomes.
Build AI-driven automation for Focused Ion Beam (FIB) and Transmission Electron Microscopy (TEM) workflows to accelerate semiconductor yield enhancement and new NAND development.
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Builds and optimizes spiking neural networks for real-world machine vision tasks in a defence-focused AI product team.
Build and deploy ML models for weather forecasting using PyTorch and HPC systems, integrating with numerical weather prediction pipelines and operational environments.
Design and implement AI/ML models for biomedical data, including genomics and clinical datasets, to support precision oncology and translational research using Python, PyTorch, TensorFlow, and LLMs.
Builds and runs the machine-learning systems that decide who gets credit at Square Financial Services, from data pipelines to production decision engines, while navigating banking regulations.
Oversee production, cleanroom and microfabrication quality controls for graphene-based neural medical devices, ensuring ISO 13485 compliance, equipment qualification and DMR/DHR documentation in Barcelona.
Builds and deploys on-device AI prototypes using C++/Python, PyTorch, and low-level system tools for edge devices like smartphones and IoT.
Research and develop efficient on-device AI inference systems, focusing on model compression, hardware-software co-design, and optimization for Qualcomm’s low-power AI accelerators.
Senior engineer optimizing ML model deployment and performance on embedded AI hardware for autonomous vehicles, using C++, CUDA, and TensorRT in a Linux environment.
Develop and transfer semiconductor microfabrication processes for graphene-based neural interfaces, focusing on cleanroom wafer-level techniques like lithography and etching to scale manufacturing of advanced healthcare devices.
Research and develop deep learning models for autonomous vehicle systems, optimizing neural networks for Mobileye’s EyeQ chip and deploying production-ready AI solutions.
OUR VISION When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more…
Lead data analytics and predictive modeling to optimize marketing strategy and guide senior leadership decisions in a healthcare device company.
Builds and deploys advanced ML models (e.g., neural retrieval, clustering, ranking) to personalize Google Search and Discover, optimizing user engagement at global scale with realtime systems.
Build and deploy deep learning models for large-scale prediction systems using PyTorch/TensorFlow, collaborating with engineers and product teams to deliver production-grade AI solutions.
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