Senior Software Engineer, Machine Learning

About the role

Roku's footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast-think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We're now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation.

What you'll be doing

• Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
• Run online AB tests and analyze them against the critical business KPIs
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetization
• Help recruiting new engineers. Interview, train, and mentor new team members
  
  We're excited if you have
  
  
• 6+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads
• Strong CS fundamentals. Should be able covert ideas to code with ease
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus
• We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)
• Good understanding of system architecture
• Experience in big data technologies and streaming architecture, data pipelines, etc.
• MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred
  
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.