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Build and optimize AI models for edge devices to improve safety and efficiency in physical operations like transportation and logistics using petabyte-scale sensor and video data.
Lead the architecture and evolution of Samsara's end-to-end ML platform, spanning training, experimentation, inference, and edge deployment across 2M+ devices, driving safety outcomes for industries like transportation and manufacturing.
Builds and optimizes ML infrastructure and models for Roku’s ad-tech platform, focusing on real-time optimization, feature engineering, and large-scale distributed systems to improve ad relevance, yield, and campaign performance.
Builds and deploys advanced ML systems (including generative AI/vision models) to enhance Roku’s content platform, focusing on entity matching, metadata quality, and user engagement for its global TV streaming audience.
Senior ML engineer builds and deploys vision and generative AI models to improve Roku’s content discovery, enriching search, recommendations, ads, and voice for millions of users.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Build and ship ML models for ad relevance and bid/yield optimization, then serve them in real time at scale using Spark, Python, and Java.
Build and productionise ML and generative-AI systems for Roku’s advertising data, including identity resolution, audience modeling, and campaign optimization.
Lead ML-driven optimization for Roku’s ad marketplace, building production-grade models to improve pricing, allocation, and auction efficiency in real-time ad serving.
Build and research SOTA ML models for ad conversion modeling, dynamic creative generation, and performance optimization in Roku’s adtech platform.
Build and deploy ML models for Roku’s voice assistant, focusing on NLU, ASR, and conversational AI to power TV streaming control and content discovery.
Build and deploy ML models to improve ad relevance and performance for Roku’s streaming platform using Python, Spark, and TensorFlow.
Build and own ML-powered recommendation and ranking systems that personalize Roku’s ad and content experiences for millions of users using collaborative filtering, learning-to-rank, and optimization techniques.
Lead a team of engineers and ML scientists to build and improve Roku’s search platform, using ML/NLP to rank and personalize TV content for millions of users daily.
Build and lead Roku’s next-gen search and recommendation stack using LLMs, vector search, and multimodal techniques to improve user engagement and monetization.
Build and deploy ML models for Roku’s ad-tech platform, focusing on ad relevance, demographics, and yield optimization using Python, Spark, and TensorFlow.
Lead the architecture and development of a low-latency, high-throughput ML inference platform for Roku’s adtech systems, optimizing across hardware, software, and models.
Build and productionize ML models for ad content understanding, including computer vision, NLP, and generative AI, to improve brand safety and ad relevance on Roku’s streaming platform.
Lead a team to build and scale ML models that power Roku’s content platform, integrating generative AI and vision models to improve search, recommendations, ads, and voice across the streaming ecosystem.
Lead ML systems for Roku’s AI-powered entertainment assistant, building ranking, personalization, and conversational discovery using LLMs, reinforcement learning, and multi-objective optimization.
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