Senior ML Engineer β€” Advertising Performance

Senior ML Engineer β€” Advertising Performance

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Roku, Inc.

At a Glance

  • Tasks: Lead the development of advanced deep learning models for advertising performance.
  • Company: Join Roku, a leader in streaming technology and innovation.
  • Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on research and open-source contributions.
  • Why this job: Make a significant impact on advertising through cutting-edge machine learning techniques.
  • Qualifications: Strong background in machine learning and experience with large-scale systems.

The predicted salary is between 80000 - 100000 Β£ per year.

Roku, Inc. is seeking a strong technical leader for Advertising Performance to develop and apply state-of-the-art deep learning models for advertising.

The role focuses on conversion modelling, attribution, calibration, dynamic creative generation, forecasting, and experimentation across large-scale systems.

You will lead research efforts, contribute to open-source ML projects, and collaborate across teams. #J-18808-Ljbffr

Senior ML Engineer β€” Advertising Performance employer: Roku, Inc.

At Roku, we pride ourselves on being an excellent employer that fosters a collaborative and supportive work environment. As a Senior Technical Services Engineer, you'll have the chance to work with a globally connected IT team, tackling diverse technical challenges while enjoying comprehensive benefits including mental health support and flexible leave policies. Our commitment to employee growth and a culture of innovation ensures that you can make a meaningful impact while advancing your career in a fast-paced, dynamic setting.

Roku, Inc.

Contact Details:

Roku, Inc. Recruitment Team

We think you need these skills to ace Senior ML Engineer β€” Advertising Performance

Deep Learning
Conversion Modelling
Attribution
Calibration
Dynamic Creative Generation
Forecasting
Experimentation