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Amazon Applied Scientist 
United States, California, San Francisco 
322777727

19.06.2024
DESCRIPTION

About TwitchAbout the PositionWe are looking for applied scientists to solve challenging and open-ended problems in the domain of user and content safety. As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. You will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.You will report to an Applied Science Manager. This position will be located in San Francisco.You Will- Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.San Francisco, CA, USA

BASIC QUALIFICATIONS

- MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR 2+ years equivalent hands on experience. We welcome applicants with non-traditional backgrounds (e.g. bootcamps).
- Hands-on experience with predictive modeling and analysis to solve real-world problems.
- Proficiency in building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain.
- Proficiency with Python; basic proficiency with SQL.


PREFERRED QUALIFICATIONS

- Degree with a specialization in Machine Learning.
- Experience shipping your models to production.
- Familiarity with AWS or similar cloud-computing services.
- 1+ years of experience working in the safety or fraud prevention domain (not necessarily as a scientist).
- Familiarity with Twitch, its business, and its community.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.