Machine Learning Engineer

Role Overview

Join a highly entrepreneurial engineering team as a Machine Learning Engineer. You’ll be the ML subject matter expert, owning models end-to-end from concept through deployment, and helping drive production ML systems that optimize player experiences and inform business decisions.

Responsibilities

• Design, build, and deploy production machine learning models
• Create predictive models for player behavior, engagement, and game performance
• Own the full ML lifecycle: feature engineering, training, tuning, deployment, and retraining
• Build scalable ML pipelines using Python and AWS
• Partner with engineers to improve existing ML infrastructure
• Research and evaluate new modeling approaches to improve prediction accuracy
• Help define and evolve the long-term ML strategy

Requirements

• 3+ years building and deploying production ML models
• Strong Python experience
• Experience with supervised learning models
• Hands-on experience with XGBoost and/or LightGBM
• Strong SQL and statistical analysis skills
• Experience deploying ML workloads in AWS
• Familiarity with Docker and containerized development
• Ability to operate independently in a fast-moving environment

Nice to Have

• Gaming or consumer analytics experience
• ClickHouse or other OLAP databases
• TypeScript
• Optuna or other hyperparameter optimization frameworks
• Experience with large-scale behavioral or product datasets

Location / Work Model

• Fully remote (US, Canada & Europe)

Benefits

• Medical, vision, and dental insurance
• 401(k)