Senior Machine Learning Scientist, Advertising
About the role
In this role you will work on applying SOTA research and conducting your own research to build SOTA Deep learning discriminative models. Building generative models to generate image and video ads geared towards optimizing performance. Stay at the forefront of advancements in related areas.
About the team
The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.
What you’ll be doing
- Applying research and conducting your own research to build SOTA Deep learning discriminative models
- Building generative models to generate image and video ads geared towards optimizing performance
- Stay at the forefront of advancements in related areas
Preferred Qualifications
- Experience in the Advertising domain
- Contributions to open-source ML projects
- PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
- 8+ years of experience in applied research using statistical and deep learning techniques
- Published paper(s) on deep learning models for Advertising or related areas
- Excellent communication and collaboration skills
Compensation and Benefits
We’re excited if you have:
Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.