Senior Machine Learning Engineer, Ad Tech Engineering

About Roku 

Roku is the leading TV streaming platform in the US, with a mission to connect the entire TV ecosystem by helping consumers discover content, enabling publishers to grow audiences, and giving advertisers powerful ways to engage viewers.

About the Team

The Ad Engineering team builds the platform behind Roku’s advertising business. Within Ad Engineering, the Creative Services team owns the infrastructure and tooling that helps advertisers produce, optimize, and deploy creatives at scale. About the Role We are hiring a Senior Engineer to lead the architecture and implementation of a next-generation generative AI-powered video creative platform. This is a high-impact role focused on building a self-serve product that makes high-quality video ad creation more accessible to advertisers.

You will architect and build the end-to-end system for AI-powered video creative generation, from advertiser input through production output. You will work closely with ML, backend, frontend, and creative stakeholders to deliver a production-ready product that improves speed, quality, and scalability for video ad creation on Roku.

What You’ll Do

• Define the technical architecture and overall stack for AI-powered video creative generation. 
• Evaluate generative AI video models, LLMs, multimodal systems, and orchestration frameworks for product use.
• Design and build the pipeline from advertiser input to model inference, output validation, and integration with Roku creative APIs.
• Build production-grade systems with strong error handling, output validation, compliance, and brand safety guardrails.
• Partner cross-functionally with ML, backend, frontend, and creative teams to iterate quickly based on feedback and business needs.
• Drive technical decisions that directly influence product quality, scalability, and time-to-market.

Required Qualifications

• Bachelor’s degree in Computer Science or a related field. 
• Experience building video creative or video ad generation systems, ideally in advertising or media environments.
• Strong understanding of modern generative AI video models and the ability to evaluate latency, cost, and quality tradeoffs.
• Solid experience with LLM and multimodal pipelines, including prompting, orchestration, tradeoff analysis, and error handling.
• Experience deploying ML systems in production, including model serving, containerization, CI/CD, and monitoring.
• Hands-on experience with modern ML frameworks and tooling such as PyTorch, Hugging Face Transformers or Diffusers, LoRA or PEFT, and vector databases for RAG workflows.
• Experience designing evaluation approaches for generative systems using human review, automated metrics, and A/B testing.
• Strong software engineering fundamentals and solid production experience in Java or Python.
• Ability to translate ambiguous business or creative requirements into practical technical solutions and communicate tradeoffs clearly to cross-functional partners.

Preferred Qualifications

• Startup or founding-engineer experience, or experience leading fast-moving GenAI product initiatives.
• Experience owning a consumer-facing or self-serve product from architecture through production deployment and operational support.
• Deeper background in computer vision or video ML, including modern CV and diffusion-based architectures.
• Experience improving inference cost and latency, and building responsible AI guardrails such as safety, compliance, IP, or human review mechanisms.
• Open-source contributions or publications in ML or generative AI.