5 months ago
Cambridge, United KingdomSenior
Responsibilities
- Build a machine learning platform managing feature engineering, model training, versioning, deployment, online serving and evaluation, and prediction-quality monitoring.
- Identify and generate reusable features for multiple use cases and models.
- Develop and evaluate algorithms using decision trees, logistic regression, neural networks, Bayesian analysis, and other statistical and machine learning techniques.
- Support batch and real-time prediction scenarios.
- Perform low-level systems debugging, performance measurement, and optimization on large production clusters.
- Collaborate with product managers, data scientists, and other engineers to deliver solutions.
- Keep current with emerging technologies and industry trends.
Requirements
- Bachelor's, master's, or PhD in computer science, statistics, or a related field.
- Typically 6+ years of industry experience applying machine learning to production systems, with PhD experience valued as meaningful acceleration.
- Strong coding and software development experience using Spark, Python, and Java.
- Familiarity with real-time model evaluation under low-latency constraints.
- Familiarity with distributed ML frameworks such as Spark MLlib and TensorFlow.
- Experience with large-scale computing frameworks, data analysis systems, and modeling environments such as Spark, Hive, Aerospike, and ScyllaDB.
- Ad-tech experience is a plus.
Benefits
- Hybrid work with in-office work Monday through Thursday and flexible remote work on Fridays, subject to role and office policies.
- Healthcare benefits may include medical, dental, and vision coverage.
- Life, accident, disability, commuter, and retirement benefits such as 401(k) or pension may be available.
- Global mental health and financial wellness support and resources.
- Paid time off in accordance with 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.