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Applied Scientist - Proactive Safety

About Us

Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on LinkedIn , Twitter and on our Blog .

About the Position

We are looking for passionate applied scientists who are excited to solve challenging and open-ended problems in the creation of automated safety products. As an applied scientist on Twitch's Community team, you will help us better understand user behaviors and various types of user-generated content. You will be developing intelligent products using state of the art machine learning (ML) models with a world class engineering team. You will help ensure that creators and viewers on Twitch can build thriving communities. You will spend most of your time developing ML models and putting them in production to solve real world problems.

You Will

• Build machine learning products in the safety world to protect Twitch and its users from bad behavior such as followbotting, spam, phishing, and violent or illegal content.
• Work closely with the Community engineering and product management team to create flexible data pipelines and ML based services
• Research, prototype, develop and productionize ML techniques
• Experiment with new techniques in order to keep pushing the boundaries of what is possible to keep our communities growing on Twitch
• Endeavor to use the right tool for the job. If a simple model works, use that one. If not, look into the state of the art.
• Continue to learn new things on the job, whether about machine learning, software engineering, or safety. You will do this with the help and support of our entire team.

You Have:

• 1+ Year Industry Experience
• Hands-on experience in predictive modeling and analysis
• Experience building ML models for NLP, deep learning, bot detection, anomaly detection or others
• Experience in a general purpose programming language: Python, Go, C/C++, Java, etc

Bonus Points

• PhD with specialization in ML
• Width and some depth of knowledge of ML algorithms. You know the landscape of ML and there is at least 1 area you are passionate about.
• Strong software development skills
• Experience shipping models in a production setting
• Familiarity with AWS/other cloud-computing services
• Experience working on a safety or fraud prevention team (not necessarily as a scientist)
• Are a Twitch user who cares about the safety of our communities

Perks:

• Medical, Dental, Vision & Disability Insurance
• 401(k), Maternity & Parental Leave
• Flexible PTO
• Commuter Benefits
• Amazon Employee Discount
• Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.),
• Breakfast, Lunch & Dinner Served Daily
• Free Snacks & Beverages

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.