Senior Data Scientist (Game Development)

TL;DR

Senior Data Scientist (AI/ML): Building and optimizing data-powered products and machine learning models to enhance the player experience in VALORANT, with an accent on skill estimation, game understanding, and matchmaking. Focus on owning the ML and AI iteration loop, developing production-quality tools, and deploying models at scale within a cross-functional game development team.

Location: Onsite in Los Angeles, USA or Mercer Island, USA

Salary: $176,700 - $247,000 USD

Company

hirify.global creates games and experiences, driven by a mission to put players first, creating collaborative teams and empowering unique perspectives.

What you will do

• Build machine learning and AI products to directly improve the player or fan experience.
• Deeply understand skill-related problems across titles and establish best practices for experimentation and success evaluation.
• Own the ML and AI iteration loop, including dataset creation, feature engineering, and model management.
• Develop and deploy ML and AI tools for game development, such as dashboards, web apps, forecasts, and simulations.
• Continually improve data science practices by identifying novel applications and new technical approaches.
• Develop relationships with game producers, designers, QA, product managers, and engineering to ensure successful ML-oriented game feature launches.

Requirements

• Experience delivering full-stack solutions from requirements gathering through live deployment.
• Previous experience working on skill-based matchmaking systems or optimizing player experiences for large, multiplayer online games.
• Master's degree in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent professional experience.
• 2+ years of experience with applied data products in gaming or entertainment.
• Expertise in Python and SQL.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark MLlib.
• Experience in the design, implementation, and analysis of online experiments.
• Experience developing and deploying machine learning models at scale.

Nice to have

• Experience designing and implementing online services and features at scale.
• Experience with big-data platforms such as Spark and Airflow.
• Familiarity with game development engines, tools, and processes.

Culture & Benefits

• Open paid time off policy and flexible work schedules.
• Medical, dental, vision, and life insurance.
• Parental leave for you, your spouse/domestic partner, and children.
• 401k with company match.
• Emphasis on player empathy and collaborative teams, fostering unique perspectives.