Machine Learning Engineer - Safety Product

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