Remote Applied Scientist

closed
Logo of Twitch

Twitch

πŸ’΅ $129k-$212k
πŸ“Remote - United States

Job highlights

Summary

The job is for an Applied Scientist at Twitch's Community team in San Francisco to develop machine learning products for user and content safety. The candidate should have a MSc degree or equivalent experience in a quantitative field, proficiency in predictive modeling, analysis, NLP, deep learning, and Python.

Requirements

  • MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR 2+ years equivalent hands on experience
  • 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

Responsibilities

  • Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content
  • Work backwards from customer problems to develop the right solution for the job, whether a classical ML model or a state-of-the-art one
  • Collaborate with Community Health's engineering and product management team to productionize your models into flexible data pipelines and ML-based services
  • Continue to learn and experiment with new techniques in ML, software engineering, or safety so that we can better help communities on Twitch grow and stay safe

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

Benefits

  • Medical, Dental, Vision & Disability Insurance
  • 401(k)
  • Maternity & Parental Leave
  • Flexible PTO
  • Amazon Employee Discount
This job is filled or no longer available

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