Scopely · 1 day ago
Machine Learning Scientist
Bellevue, WA
Full-time
Hybrid
Entry, Mid Level
$158K/yr - $185K/yr
2+ years expScopely is a global interactive entertainment and mobile-first video game company known for its award-winning experiences. The Machine Learning Scientist will craft and implement machine learning-powered features for geo-location-based mobile games, collaborating closely with various teams to enhance gameplay mechanics based on player behavior and contextual environments.
Digital EntertainmentMobile AppsOnline GamesSoftwareVideo Games
Responsibilities
Craft and develop machine learning models that drive intelligent gameplay features, such as multifaceted content placement, player clustering, and geo-contextual personalization
Leverage real-world data (geospatial, temporal, behavioral) to advise in-game decision-making and adapt to player environments in real time
Partner with product and design teams to translate gameplay ideas into ML-powered systems
Collaborate with data science and data engineering teams to optimize data pipelines for machine learning use cases
Collaborate with product and data science teams to perform thorough experimentation, A/B testing, and model evaluation to measure product impact and feature efficiency
Contribute to the design of ML infrastructure, tools, and workflows that support the lifecycle of models in production
Qualification
Required
M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical field
2+ years of experience developing ML systems in a production environment
Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar
Experience with applied ML techniques such as supervised learning, clustering, or deep learning
Strong analytical and problem-solving skills with a product mentality
Ability to communicate technical concepts clearly to multi-functional teams
Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice
Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others
Preferred
Experience building ML features for mobile games or interactive applications
Experience with modern data processing frameworks, e.g. Apache Beam or Apache Spark
Exposure to active learning methodologies, recommendation systems and real-time model inference
Experience with Cloud native model development environments, e.g. GCP or AWS
Experience with common machine learning development tools or frameworks, e.g. Jupyter Notebooks, MLflow or Kubeflow
Familiarity with geo-contextual modeling, map-based data, and temporal-spatial modeling techniques
Solid understanding of geospatial data and location-based modeling challenges
Benefits
Equity
Bonuses
Comprehensive benefits package
Healthcare benefits
Retirement benefits
Pet insurance
Paid holidays
Paid Scopely free days
Unlimited paid time off
Company
Scopely
Scopely is an entertainment and video game company that creates, publishes, and live-operates immersive games.
1001-5000 employees
H1B Sponsorship
Scopely has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (18)
2023 (16)
2022 (16)
2021 (25)
2020 (22)
Funding
Current Stage
Late StageTotal Funding
$998.5MKey Investors
NewView CapitalRevolution GrowthAnthem Venture Partners
2023-04-05Acquired
2021-10-18Secondary Market
2020-12-11Secondary Market
Leadership Team
Javier Ferreira
Co-CEO
Walter Driver
Co-Founder, Chairman & Co-CEO
Recent News
PocketGamer.biz
2026-01-09
Company data provided by crunchbase