About the role
Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you. We expect you to: Have deep passion for video games and think on behalf of our players Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space Be responsible for your domain of expertise on projects from inception to delivery and beyond Required Skills 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet) Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders Preferred Experience Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute: • Experience with graph databases, collaborative filtering, or user vectorization • Experience with large-scale sentiment analysis • Experience with Typescript or Golang • Experience with source control, CICD, Protobuf, or infrastructure as code • Experience in the video game industry • Experience in a small company with a startup feel • Interest in technical writing and sharing your work