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Leads AI product strategy at WHOOP, focusing on measuring AI output quality, selecting models, managing an internal AI platform, and evaluating emerging AI techniques to improve health and performance insights for members.
Build and deploy production ML models—reinforcement learning, contextual bandits, and deep learning—to optimize Creator tools and ad systems for YouTube Creators.
Design, build, and deploy ML models and pipelines for production use, collaborating with global teams to integrate AI solutions into client systems.
Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum…
Build and deploy AI/ML models to optimize insurance customer acquisition and digital ad auctions using Python/R, SQL, and scikit-learn.
Build and optimize AI agents for Google Cloud’s Applied AI portfolio, focusing on recommendation systems, skill discovery, and performance tools for conversational agents.
Validate AI-powered construction estimation software by testing PDF document processing, reporting bugs in Jira, and ensuring user experience meets standards.
Lead a team to build and ship scalable generative AI applications, translating research into real-world products while optimizing performance and mentoring engineers.
Lead the development of AI-driven customer engagement products for energy providers, building hyper-personalized, proactive communication systems that transform how households interact with their utilities.
Build and deploy ML models to predict user responses and optimize first-price ad auctions with bid shading, pacing, and feedback loops for a large media, adtech, and e-commerce platform.
Lead the architecture and development of core robotics software for AI-driven autonomous systems, focusing on perception, motion planning, controls, and execution in manufacturing environments.
Build and deploy predictive and prescriptive algorithms in Python to optimize Target’s middle-mile supply chain, collaborating with engineers to scale solutions across millions of SKU-network combinations.
ML engineer builds and monitors pricing models for corporate deposit products using regression, time-series, and reinforcement learning to optimize bank funding.
Master thesis role developing a physics-informed AI controller for grid-tied inverters, comparing linear/predictive baselines and researching AI-based implementations.
Design, train, and deploy ML models for autonomous robotics systems, integrating perception, planning, and control with ROS/ROS2 and sensor fusion.
Build and deploy ML models for finance datasets using Python, Spark, and cloud platforms; collaborate with data scientists to deliver scalable AI solutions in healthcare.
Build and deploy large-scale AI models (LLMs, diffusion, GNNs) for biomedical discovery, owning end-to-end training pipelines and distributed systems.
Build and optimize ML models to enhance Altera’s FPGA compiler, focusing on timing closure, resource utilization, and power efficiency using PyTorch/TensorFlow.
Define the multi-year roadmap for AI/ML fraud prevention platforms, including graph intelligence and MLOps, to reduce fraud loss while maintaining customer experience.
Lead the architecture and delivery of ML and GenAI platforms for JPMorganChase’s Home Lending, turning prototypes into production systems and mentoring AI engineers.
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