Senior Software Engineer, Machine Learning

Salary: £60,000 - 100,000 per year

Requirements:

• PhD in quantitative disciplines such as CS, Statistics, Applied Math or a related field.
• Extensive experience in applied research using statistical and deep learning techniques.
• Published paper(s) on deep learning models for Advertising or related areas.
• Excellent communication and collaboration skills.
• Experience in the Advertising domain is preferred.
• Contributions to open-source ML projects are preferred.

Responsibilities:

• Apply existing research and conduct our own research to build SOTA deep learning discriminative models.
• Build generative models to create image and video ads geared towards optimizing performance.
• Stay at the forefront of advancements in related areas.
• Work on challenging problems in advertising related to conversion modeling aligned with attribution methodologies and models.
• Contribute to calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization, and experimentation for A/B and multivariate testing.

Technologies:

• AI
• Support
• Machine Learning
• Roku
• LESS

More:

We are Roku, the #1 TV streaming platform in the U.S., Canada, and Mexico, working to power every television in the world and connect the entire TV ecosystem. Our Advertising Performance group focuses on performance for advertisers, publishers, and Roku through realtime multi-objective optimization at large scale and low latency. We use machine learning, reinforcement learning, AI, control and optimization systems, and auction dynamics, supported by our Machine Learning, Experimentation, and Inference Platform. We foster an inclusive and collaborative hybrid working environment, generally in the office Monday through Thursday with flexible remote Fridays for many roles. We offer a comprehensive benefits package that may include mental health and financial wellness support, healthcare, life, accident, disability, commuter, and retirement options, plus time off in accordance with local policies. We value a fast-paced, collaborative culture built on strong problem-solvers, bold thinking, and a focus on delivering results.

last updated 35 week of 2026