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Build and own ML and backend systems for Uber AI Solutions, driving end-to-end verticals from data infrastructure to production AI models that power global AI teams.
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: About the Role Qualcomm AI Hub is the platform for on-device AI — enabling…
Lead the architecture of Lyra’s AI/ML platform, designing scalable generative-AI systems, RAG pipelines, and guardrails for mental-health care delivery.
Lead the design and scaling of NewsBreak’s AI-powered recommendation systems and LLM-driven personalization, shaping the future of local news delivery.
Build and ship ML-driven dating features for Tinder’s Seoul studio, iterating on matchmaking models and user engagement systems.
Build and scale agentic AI/ML systems to improve healthcare experiences, integrating AI-driven solutions into CVS Health’s products and services.
Build ML models to personalize book recommendations and enhance reader engagement for a global publishing leader.
Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre…
Build and lead ML systems that power recommendation engines using big data and novel algorithms, then integrate them into production.
Designs and deploys advanced machine learning models to enhance the realism and controllability of Wing’s drone-delivery simulation stack, focusing on generative AI and world modeling for autonomous aircraft testing.
Lead research and development of advanced computer vision and multimodal AI models to improve Webflow’s marketing platform, translating cutting-edge techniques into production-ready systems.
Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions…
Leads infrastructure architecture for enterprise-scale generative AI platforms on AWS, Kubernetes, serverless, and containers, ensuring robust deployment and operational foundations.
Lead a team of ML engineers to design, deploy, and scale machine-learning models for RBC Wealth Management, using Python, Java, AWS/Azure, and MLOps practices.
Develops advanced AI/ML models for early cancer detection using blood-based molecular signals, collaborating with biologists and engineers in a hybrid Brisbane, CA role.
Lead the design, development, and deployment of recommender systems and personalization models for Penguin Random House’s digital platforms to improve book discovery and customer engagement.
Builds and maintains production ML forecasting systems for demand, inventory, and supply chain at Penguin Random House, specializing in time-series modeling, uncertainty quantification, and agentic workflows.
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Builds and optimizes ML infrastructure and tooling to improve training, inference, and GPU utilization for Reddit’s AI systems, enabling faster experimentation and cost-efficient scaling.
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
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