Twitch is looking for an Applied Scientist to solve challenging and open-ended problems in the domain of recommendations, search, ranking and information retrieval. As an Applied Scientist on Twitch's Community team, you will use ML to help viewers find streamers and communities they’ll love.
Requirements
- Hands-on experience with predictive modeling and analysis to solve real-world problems.
- Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.
- Experience shipping your models to production.
- 1+ years of experience working in recommendations or search.
- Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.
Responsibilities
- Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.
- Collaborate with senior scientists and engineers to deploy ML code in production.
- Collaborate with our Product and Engineering teams to work backwards from customer discovery problems, in order to determine the ML solution (algorithm and pipeline) that will have the biggest impact on our user base in the real world.
- Participate in the scientific community at Twitch, Amazon, and the broader ML and risk community.
Other
- BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience.
- We welcome applicants with non-traditional backgrounds.
- Familiarity with Twitch, its business, and its community.
- Medical, Dental, Vision & Disability Insurance
- 401(k)
