Senior Applied ML Scientist, Ads Optimization

Senior Applied ML Scientist, Ads Optimization

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Unity Technologies

At a Glance

  • Tasks: Drive applied research to optimise machine learning for Unity's advertising platform.
  • Company: Join Unity Technologies, a leader in innovative tech solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Make a real impact by transforming research into product innovations.
  • Qualifications: PhD in a relevant field and experience with TensorFlow or PyTorch.

The predicted salary is between 60000 - 80000 Β£ per year.

Unity Technologies is seeking an innovative individual to join their Ads Applied Research team. The role involves driving applied research initiatives to optimize and enhance machine learning capabilities across Unity's advertising platform.

The ideal candidate will hold a PhD in a relevant field and possess experience transforming research into product innovations. Candidates should be familiar with machine learning frameworks like TensorFlow and PyTorch.

Senior Applied ML Scientist, Ads Optimization employer: Unity Technologies

Unity Technologies is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Applied ML Scientist to thrive. With a commitment to employee growth, Unity offers ample opportunities for professional development and encourages creative problem-solving in a dynamic work environment. Located in a vibrant tech hub, employees benefit from a stimulating atmosphere that promotes cutting-edge research and the chance to make a significant impact in the world of advertising technology.

Unity Technologies

Contact Details:

Unity Technologies Recruitment Team

We think you need these skills to ace Senior Applied ML Scientist, Ads Optimization

Applied Research
Machine Learning
TensorFlow
PyTorch
Product Innovation
PhD in a relevant field
Data Analysis