Senior Machine Learning Engineer, Content Platform

What is the role

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Communication and presentation skills are essential as you will collaborate across teams. The role requires high technical aptitude, problem-solving abilities, motivation, and exceptional attention to detail. We are in build mode because we are a company of data-focused builders. Every day, you will look at what exists and find ways to make it better.

How will I use AI at Roku

At Roku, we do not just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We are looking for curious, adaptable builders who can show how they have used AI or automation to move faster, raise the bar, and scale their impact.

What are the responsibilities of the role

• Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences for millions of Roku users
• Designing and implementing advanced Machine Learning models for entity matching, data deduplication, and Generative AI tasks such as content summarization deduping and metadata quality
• Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging
• Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI
• Creating products that provide exceptional user experiences while meeting performance, security, quality, and stability requirements

What experience would help someone be successful in this role at Roku

• 7+ years of experience applying Machine Learning and GenAI to solve concrete problems at large-scale
• Strong CS fundamentals, with the ability to design algorithms for real-world challenges
• Expertise in machine learning fundamentals, including deep generative models GANs, VAEs, transformers, tree-based methods, and sequence-based models
• Proven familiarity with BERT, GPT, or related architectures, as well as Vision-based approaches like ResNet, EfficientNet, or CLIP
• Experience in big data systems such as Spark, EMR, Kafka, S3, Flink, Airflow and programming Java, Scala, or Python
• A track record of building in-production Machine Learning systems, including deploying Generative AI and Vision Model-based pipelines
• Knowledge of system architecture and experience with big data technologies such as streaming architectures and scalable data pipelines
• An understanding of state-of-the-art Vision Models for tasks such as image classification, object detection, and multimodal learning
• MS in Computer Science, Statistics, or a related field is required; a PhD in CS or related fields is preferred

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.