Rec Room - Seattle, WA
posted 1 day ago
About the position
Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We are looking for an exceptional Machine Learning Engineer to support our players & creators as we continue to grow. 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. We are looking for someone who is driven by doing impactful work and is passionate about building great solutions.
Responsibilities
- 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.
Requirements
- 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.
Nice-to-haves
- Experience and/or a passion for gaming
- DBT knowledge
- Spark/Databricks knowledge
- Additional language proficiency (e.g. Java, Scala) are also a plus
