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 Role

Twitch is building the future of interactive entertainment. 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 Trust & Safety team, you will help us better understand user behaviors and various types of user-generated content. You will be developing next-generation intelligent products using state of the art ML models with an outstanding engineering team. You will help ensure that creators and viewers on Twitch can build thriving communities by eliminating negative interactions (harassment, inappropriate content, etc).

At Twitch, which is part of Amazon, you’ll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon. You will be a member of the broader Twitch applied science community which includes outstanding scientists across multiple disciplines.

You Will:

  • Work closely with the Trust & Safety engineering and product management team to create flexible data pipelines and ML based services for safety products
  • Research, prototype, develop and productionize creative ML techniques to reduce negative interactions and contribute to the business
  • Stay up to date with the state-of-the-art ML research
  • Continuously experiment with new techniques in order to keep pushing the boundaries of what is possible to keep users safe on Twitch

You Have:

  • PhD in CS, Math, Stats or equivalent hands on experience
  • 3+ years of hands-on experience in predictive modeling and analysis
  • 3+ years of experience building NLP or deep learning models in large-scale production environments
  • 3+ years experience in a general purpose programming language: Go, C/C++, Python, Java, etc

Bonus Points

  • PhD with specialization in ML / NLP
  • Hands-on experience developing Deep Learning algorithms and experience using Deep Learning libraries such as TensorFlow, MxNet, PyTorch, etc.
  • Proven experience with Natural Language Processing using Deep Learning in areas such as Word/Sentence Embeddings, Topic Detection, Sentence/Document Classification, Sentiment Analysis, Named Entity Recognition, etc
  • Strong software development skills
  • Familiarity with AWS services

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

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, sexual orientation, age, marital status, veteran status, or disability status.

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

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Voluntary Demographic Questions

Our mission at Twitch is to enable creators to make a living entertaining and educating their fans. We serve a diverse, global community and it's important that we have teams with a wide range of backgrounds, experiences and perspectives, in order to better serve our streamers and grow our business. All team members play a vital part in bringing our mission to life. At Twitch, we believe everyone has a role to play in creating an inclusive environment where everyone can thrive and grow.

In order to measure our effectiveness in recruiting a wide range of talent to Twitch, we invite all applicants to self-identify their gender, race and ethnicity, gender identity, sexual orientation, disability and military veteran status.  It’s our policy to provide equal employment opportunities to all applicants based solely on their qualifications. Your voluntary self-disclosures will be anonymized in reporting, and will not be used in any aspect of employment related decisions, nor shared with hiring managers. Declining to self-identify will not subject you to adverse treatment. Twitch does not discriminate on the basis of gender, gender identity or expression, sexual orientation, race/ethnicity, veteran or disability status, or any other protected group. 

Self-identification categories:

  • Gender: A person’s sex, as defined by their assigned sex at birth.
  • Gender Identity: A person's internal perception of their gender and how they label themselves (may or may not correspond to gender assigned at birth).
  • Race/Ethnicity: A person’s race (Asian, Black, Native American or Alaska Native, Native Hawaiian or Pacific Islander, White, Two or More Races) and whether they identify as Hispanic/Latinx.
  • Sexual Orientation: A person's sexual identity in relation to the gender to which they are attracted.
  • Disability: A person who has a physical or mental impairment which substantially, or occasionally, limits one or more of their major life activities. Learn more here. 
  • Military Service: A person who has spent time serving in any branch of the military (may be retired or active). Learn more here.

 

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