Staff Data Scientist - Riot Data Products, AI Accelerator

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The AI Accelerator performs applied research to accelerate the pace of building AI enabled applications for our game teams and to establish AI as a core capability at Riot.

In this role, you will lead the engagement with an R&D game team to develop AI agents that can play the game at a high skill level. You will be responsible for the end-to-end development of the agent as well as any infrastructure required to train the agent or integrate the agent into features required by the game teams.

Responsibilities:

• Propose, implement, and evaluate algorithms that can play games at a high skill level
• Work with game teams to propose, define, and develop AI enabled features (e.g. metagame analysis, player coaching, play vs AI)
• Integrate game servers into research & training infrastructure
• Develop and optimize a distributed training infrastructure including algorithms, hyperparameters, CPU, memory, and I/O
• Inform and manage stakeholders on game teams

Required Qualifications:

• MS in Computer Science or equivalent with 6+ years relevant experience or any equivalent combination of education and experience
• 3+ years experience in deep learning
• 2+ years experience in reinforcement learning
• Game theory fundamentals
• Python
• Tensorflow or Pytorch
• Familiarity with GCP or AWS
• Ability to read research papers and implement similar ideas

Desired Qualifications:

• Kubernetes, Docker, Databricks, SQL, Redis
• Distributed computing systems design
• C++, Unreal Engine

Our Perks:

We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games.