Machine Learning Engineer, Rec Room

• We are looking for someone who is driven by doing impactful work and is passionate about building great solutions
• Master's or Ph.D. degree in computer science, statistics, mathematics, or a related field
• 3+ years of experience in Machine Learning and Applied Science in a production setting, ideally working on personalization, recommendations, ranking, personalization, search, and/or content discovery
• Excellent software engineering skills in multiple languages. Ability to leverage Python and large-scale data processing with Spark (e.g. PySpark, SparkSQL, and/or Scala)
• Experience building and shipping ML Models into production with great results
• Exceptional communication skills, the ability to explain complex technical concepts to partners across all business functions
• Ability to deal with ambiguity, a strong ownership mindset, and a desire to thrive on minimal oversight and process
• A strong sense of curiosity with a desire to experiment and iterate to get to a great solution

Desirable

• As a Machine Learning Engineer, you’ll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they’d find valuable
• You’ll identify areas of improvement, iterate on how we’ve done things before, and find better ways of doing things
• Design, develop, implement, and ship high-impact machine learning models that deliver valuable content to our users
• Partner with the Data infrastructure team on things like our real-time personalization road-map & ranking models
• Design and run experiments to uncover opportunities for improvement (i.e., A/B tests and model performance)
• Work closely with Product Data Scientists, Data Engineers, Software Engineers, Product Managers, and Designers to gather detailed requirements, build pipelines, and implement end-to-end solutions at scale
• Champion and apply best practices when it comes to availability, scalability, operational excellence, and cost management
• Cultivate strong partnerships with cross-functional partners across the business