Senior ML Engineer, MarTech — Real-Time Personalization

Roku, Inc.; Manchester; Hybrid; GBP 65,000 - 85,000; Full time

Benefits offered by this job

Mental health support

Healthcare benefits

Retirement options (401(k)/pension)

Job summary

Roku, Inc. is seeking a Senior Machine Learning Engineer to enhance marketing systems through cutting-edge machine learning. This role is pivotal in applying innovative technology to improve customer engagement and advertising effectiveness.

The ideal candidate will work in a hybrid environment from the Manchester office, focusing on data-driven solutions to real-world marketing challenges. Successful applicants will engage with multi-disciplinary teams and build intelligent systems that leverage data and technology.

We offer an inclusive workspace with diverse benefits emphasizing mental health and financial wellness.

Qualifications

• Strong background in machine learning and production systems.
• Experience with machine learning frameworks like Spark and Ray.
• Ability to work effectively with engineering and product teams.

Responsibilities

• Conduct data analysis and feature engineering for various models.
• Train and evaluate machine learning models for business use cases.
• Build a machine learning platform managing the entire model lifecycle.

Skills

Applied machine learning

Data analysis

Python coding

Java development

Education

Bachelor’s, Master’s or PhD in Computer Science, Statistics or a related field

Tools

Spark

Ray

TensorFlow

NoSQL databases

Job description

Roku, Inc. is seeking a Senior Machine Learning Engineer to enhance marketing systems through cutting-edge machine learning. This role is pivotal in applying innovative technology to improve customer engagement and advertising effectiveness.

The ideal candidate will work in a hybrid environment from the Manchester office, focusing on data-driven solutions to real-world marketing challenges. Successful applicants will engage with multi-disciplinary teams and build intelligent systems that leverage data and technology.

We offer an inclusive workspace with diverse benefits emphasizing mental health and financial wellness.