Machine Learning Engineer - Safety Product

Twitch

San Francisco, CA, USA

Full time

Apr 1

This job is no longer accepting applications.

About the Role

Are you passionate about making Twitch safer, more inclusive, and a nicer place to enjoy? This position lets you do exactly that! You will be part of a rapidly growing Machine Learning team which develops and deploys algorithms that are the first line of defense of users' safety at Twitch. You will work with passionate co-workers who live Twitch's mission and put their hearts into their work. If this sounds like an environment where you will thrive, come and join our team!

You Will:

  • Build machine learning products in the safety world to protect Twitch from bad behavior such as followbotting, spam, phishing, and violent or illegal content
  • Design and build scalable infrastructure that enables deploying machine learning models on petabytes of data
  • Develop data pipelines and other modern big data processing systems
  • Build distributed services to power machine learning solutions
  • Design databases and make storage choices for efficient ML data management
  • Bring operational excellence to MLOps/DevOps
  • Work on event-driven data flows to evolve machine learning applications
  • Partner with fellow engineering and science teams to accomplish complex projects together

You Have:

  • Bachelors in Computer Engineering/Science or equivalent
  • 2+ years of industry experience or equivalent internship experience
  • Outstanding programming skills
  • Demonstrated ability to understand and contribute to large software systems
  • Experience building distributed services or backend services and understand scaling computation to thousands of machines
  • Passion for machine learning

Bonus Points

  • Experience working with Amazon Web Services or other cloud solutions
  • Experience with ML libraries/frameworks such as Keras, Tensorflow, and AWS Sagemaker
  • Understanding of MLOps or DevOps concepts
  • Experience working with large-scale data and orchestration tools such as Airflow, AWS Stepfunctions and Kubeflow
  • Experience with streaming data and event-driven systems, and knowledge tools like Kinesis, Kafka, Flink, Spark, RabbitMQ and SQS
  • You are a Twitch user who cares about safety


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