Scopely

About the Company

Scopely is a leading global interactive entertainment and video game company, home to many top-grossing, award-winning franchises, including the most successful mobile game ever launched "MONOPOLY GO!," along with "Stumble Guys," "Star Trek™ Fleet Command," "MARVEL Strike Force," "WWE Champions" and "Yahtzee® With Buddies," among many others.

Scopely creates, publishes, and live-operates immersive games across mobile, web, PC and console that empower a directed-by-consumer™ experience.

Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami™ that supports one of the most diversified portfolios in the games industry.

Recognized multiple times as one of Fast Company’s “World’s Most Innovative Companies” and as a TIME100 “Most Influential Company In the World,” Scopely has surpassed $10 billion in lifetime revenue due to its ability to create long-lasting game experiences that players enjoy for years.

Scopely has global operations across North America, Central America, EMEA and Asia, with additional game studio partners across four continents.

Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.

For more information on Scopely, visit: scopely.com.

Listed Jobs

Company Name

Scopely

Job Title

Machine Learning Scientist

Job Description

Job title: Machine Learning Scientist Role Summary: Design, develop, and deploy machine‑learning models that enable intelligent gameplay features for geo‑location based mobile games. Work closely with product, design, engineering, and data science teams to build model pipelines and evaluate impact through experimentation. Expections: Create production‑ready ML systems; collaborate cross‑functionally; communicate technical decisions to non‑technical stakeholders; maintain code quality; stay current on ML research relevant to mobile gaming. Key Responsibilities: - Build models for content placement, player clustering, and geo‑contextual personalization using real‑world geospatial, temporal, and behavioral data. - Optimize data pipelines with data engineering teams for ML use cases. - Execute end‑to‑end experimentation (A/B testing, feature flags, model evaluation) to measure product impact. - Design and maintain ML infrastructure, tools, and workflows for model lifecycle management. - Participate in regular in‑office hybrid schedule (2 days per week). Required Skills: - Mastery of Python and libraries such as PyTorch, TensorFlow, Scikit‑learn. - Proficient in supervised learning, clustering, or deep learning techniques. - Strong analytical and problem‑solving abilities; product‑oriented mindset. - Excellent written and verbal communication with cross‑functional teams. - Experience in high‑velocity, hybrid work environments. Required Education & Certifications: - M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related field. - 2+ years in developing ML systems for production. (Plus if present – experience with mobile game ML features, Spark/Beam, active learning, recommendation systems, cloud native model deployments, Jupyter, MLflow, Kubeflow, geo‑contextual modeling.)

Bellevue, United states

On site

Junior

12-01-2026