1 day ago
Cambridge, United KingdomSenior
Responsibilities
- Apply machine learning techniques including deep learning, bandits, transformers, LLMs, causal inference, and optimization to search and recommendations.
- Run online A/B tests and analyze results against critical business KPIs.
- Collaborate with US engineering and cross-functional teams to translate business requirements into technical specifications.
- Improve and scale the machine learning ecosystem, data pipelines, and streaming architecture.
- Provide technical leadership for the search ranking, monetization, and machine learning roadmap.
- Recruit, interview, train, and mentor new engineers.
Requirements
- At least 8 years of experience applying machine learning to large-scale problems in recommendation, search, advertising, or related domains, or a PhD with 6 years of experience.
- Strong computer science fundamentals and the ability to translate ideas into code.
- Understanding of classification, deep neural networks, sequence-based models, modern NLP, and multimodal representation learning.
- Experience with big-data systems such as Spark, S3, and Airflow.
- Programming experience in Java, Scala, or Python.
- Understanding of system architecture, big-data technologies, streaming architecture, and data pipelines.
- Demonstrated fluency with AI and agentic engineering tools, including the ability to verify agent output and ship work using those tools.
- Master’s degree in Computer Science, Statistics, or a related field required; PhD in Computer Science or a related field preferred.
Benefits
- Hybrid work generally consists of working in the office Monday through Thursday, with Fridays generally flexible for remote work; some roles or locations may require five days onsite.
- Benefits may include mental health and financial wellness resources, medical, dental, vision, life, accident, disability, commuter, retirement, and statutory or voluntary benefits.
- Employees receive time off according to local leave policies and personal needs.
Tech Stack
Categories
About Roku
Roku builds streaming players, Roku-branded TVs and audio gear, and the Roku OS licensed to TV manufacturers. Its platform supports ad-supported and subscription streaming, including The Roku Channel and Roku Originals, and underpins a significant advertising business. Founded in 2002 and headquartered in San Jose, it is a public company trading on NASDAQ under the ticker ROKU.