科技職缺
職缺列表
Senior Software Engineer, Machine Learning
ML engineer on Roku's Search team building search relevance and ranking at scale using deep learning, transformers, LLMs, bandits, and causal inference, plus big-data plumbing on Spark, S3, and Airflow in Java/Scala/Python.
Lead Machine Learning Inference Engineer, Advertising
Lead the design and development of a state-of-the-art ML inference platform powering Roku's advertising ecosystem, optimizing for low-latency, high-throughput serving at scale using GPU acceleration, hardware-software co-design, and HPC techniques.
Lead Machine Learning Inference Engineer, Advertising
Lead engineer for Roku's advertising ML inference platform, architecting a state-of-the-art system for low-latency, high-throughput ad-serving at scale using machine learning, reinforcement learning, GPU acceleration, and distributed systems.
Senior Machine Learning Engineer, Ad Tech Engineering
Senior ML Engineer on Roku's Ad Serving team in Bengaluru, building and productionizing deep learning, computer vision, LLM, and VLM models to improve ad relevance, brand safety, and creative moderation/generation on the Roku streaming platform.
Senior Engineering Manager - Machine Learning
Lead and grow a team of ML Engineers within Roku's Content Platform organization in Bengaluru, defining the ML roadmap, guiding model architecture and MLOps infrastructure, and integrating Generative AI and Vision Models to power Search, Recommendations, Ads, and Voice.
Senior Machine Learning Engineer
Senior ML Engineer on Apple's Apple Store Online team in Shanghai, building algorithms for product search, recommendation systems, personalization, and Generative AI that power Apple's largest online store. Work spans model development, large-scale data pipelines, and distributed systems.
Staff Machine Learning Engineer, Financial Connections
Design, train, and deploy ML models powering Stripe's Financial Connections open banking platform — transaction categorization, risk scoring, and data enrichment at scale — using PyTorch, TensorFlow, XGBoost, and Spark.