Senior Applied Scientist, Twitch

• 6+ years of hands-on industry experience building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain
• 6+ years experience writing high quality code to ship those models in production systems
• Experience owning projects that involve numerous scientists and engineers
• Experience working with non-technical stakeholders
• Proficiency with ML techniques and best practices for risk or abuse detection
• PhD / MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR equivalent hands on experience
• Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.), developing software in AWS or similar cloud-computing services

Desirable

• We are looking for applied scientists to solve challenging and open-ended problems in the domain of user and content safety
• As a Senior 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 lead high profile projects where 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, engineers, and product stakeholders 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 our Senior Applied Science Manager. This position is located in San Francisco, CA
• Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content
• Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus 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
• Help drive science culture on the team by staying up to date and experimenting with new techniques in ML, software engineering, and safety