Technical Architect (Business Applications)

Join Roku as a Senior Software Engineer, where you will drive the AI-native transformation of our advertising business operations. You will work closely with advertising business stakeholders to identify needs and translate operational pain points into machine learning and agentic AI solutions. You will design and ship production ML and agentic systems end-to-end, apply GenAI and LLMs to deliver measurable value, and provide technical leadership across the broader ML and AI surface area.

• Conduire la transformation AI-native des opérations commerciales publicitaires de Roku, en identifiant les opportunités à fort impact et en influençant la feuille de route, l'architecture et la conception du système.
• Travailler en étroite collaboration avec les parties prenantes commerciales pour identifier les besoins, faire émerger les opportunités à fort impact et traduire les points de douleur opérationnels en solutions d'apprentissage automatique et d'IA agentique.
• Concevoir et expédier des systèmes de ML et d'IA agentique de production de bout en bout, y compris la recommandation, la personnalisation, le classement, la prévision, la détection d'anomalies et les flux de travail multi-agents.
• Hands-on experience designing, training, tuning, and deploying models for ranking, prediction, recommendation, forecasting, classification, or NLP use cases
• 8+ years of hands-on engineering experience, with a track record of technically leading and delivering multiple complex ML and AI initiatives
• Strong foundation in machine learning and statistical modeling, including clustering, classification, regression, decision trees, neural networks, SVMs, and anomaly detection, with deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, bias-variance tradeoffs, and offline vs. online metrics
• Master's or PhD in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience
• Demonstrated technical leadership, including setting direction, influencing across teams, and elevating the work of other engineers
• Proven experience building and scaling production ML and AI systems, including LLMs, RAG architectures, embeddings, retrieval-based systems, and multi-agent or agent-based system design
• Experience in advertising, marketplaces, e-commerce, travel, or similar data-rich, decision-driven platforms is a strong plus