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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.
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.
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.
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.
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.
Build and scale ML infrastructure for Roku’s recommendation engine, including feature stores, inference services, and vector databases to serve millions of users.
Lead a team of ML engineers building recommendation systems that power Roku’s content discovery, using deep learning, reinforcement learning, and generative AI to drive user engagement and revenue.
Lead a team of ML and data engineers at Airbnb to build AI-driven communication and connectivity features for hosts and guests, including messaging and notifications.
Build and productionize AI models and agentic systems to detect fraud and automate trust decisions for Airbnb’s global community.
Senior ML engineer on Airbnb's search Relevance and Personalization team, focused on query intelligence: building and productionizing large-scale ML/LLM models for autocomplete and smart compose, query tagging, query expansion, and intent modeling. Core work spans Python/Scala/Java/C++, TensorFlow/PyTorch, and batch and real-time data pipelines (Spark, Kafka, Airflow).
Designs and implements computer vision systems for autonomous spacecraft operations, integrating hardware sensors, algorithms, and flight software to enable real-time perception, navigation, and mission control across diverse orbital environments.
Build and deploy ML models for autonomous systems, focusing on perception, sensor fusion, and ML ops to power uncrewed maritime and air vehicles.
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