At a Glance
- Tasks: Develop and optimise machine learning models for personalised advertising solutions.
- Company: Join Roku's innovative MarTech team focused on cutting-edge advertising technology.
- Benefits: Enjoy a diverse benefits package, including mental health support and flexible working options.
- Other info: Collaborative hybrid work environment with excellent career growth opportunities.
- Why this job: Make a real impact in marketing by applying your machine learning expertise to high-impact problems.
- Qualifications: Experience in machine learning, coding skills, and a degree in a related field required.
The predicted salary is between 60000 - 80000 £ per year.
About the Team
Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience to the right customer at the right time on the right marketing channel. The team is focused on turning data, experimentation, and intelligent decisioning into production systems that improve marketing effectiveness at scale. Our mission is to build cutting‑edge advertising technology and marketing products to support and grow a sustainable advertising business. The team owns server technologies, data platforms, and cloud services that power advertising and marketing use cases.
About the Role
The MarTech team at Roku is looking for a seasoned Senior Machine Learning Engineer with a strong background in machine learning and production systems. This role sits in a team working on high‑impact problems across marketing and advertising, where machine learning is being applied to improve customer decisioning, creative and campaign performance, and the systems that support experimentation and optimisation. Examples of such problems include creative personalisation for customers, improving ad relevance and targeting, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general‑purpose software and statistical languages.
The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self‑starter who can work effectively with engineering, product, data science, and commercial stakeholders across Roku. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. This role requires hybrid working from the Roku Manchester office.
What You'll Be Doing
- Data Analysis / Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models.
- Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy.
- Near Real‑Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads.
- ML Infrastructure: Help build a first‑class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality.
- Low‑Level Systems Debugging, Performance Measurement & Optimisation: Performance measurement and optimisation on large production clusters.
We're Excited If You Have
- First‑hand experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases!).
- Experience with ML/distributed ML frameworks like Ray, Spark‑MLlib, TensorFlow etc.
- Experience with real‑time scoring/evaluation of models with low latency constraints.
- Great coding skills and strong software development experience (we use Spark, Python and Java a lot).
- Ability to work with large‑scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc.
- Bachelor's, Master's or PhD in Computer Science, Statistics or a related field.
- Ad‑tech/Mar‑tech background is a plus.
Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days a week attendance.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to the Employee Relations team.
