As a part of the Rapid Prototyping team, you will work at the intersection of game development and data science areas. Your role will be to deliver state-of-the-art machine learning solutions for our game development processes. The ideal candidate won’t just help us to increase our analytical tasks, but will also bring new knowledge and experience to the team. As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving with your passion for games in order to explore a new frontier within the realm of game development with our data scientists and academic research partners.

We are looking for a new team member with strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability.

Job content

Analyze data and apply researching, designing, prototyping, and productization of machine learning solutions to challenge various business issues in game development.
Prepare documentation in a simple, understandable way for a business or technical audience. Develop specifications for created models for further automation.
The ideal candidate is an intelligent, sharp, detail-oriented, and highly quantitative individual with a passion for gaming, data modeling, analysis, and working with cross-functional teams.
What will you do?
Design, prototype, and implement advanced machine learning algorithms to help improve player experience. Work with the Data Science and Engineering team to implement robust processes in real time.
Frame and conduct intricate analyses and experiments using extremely large, complex (not always well-structured, highly variable) datasets and analyze large amounts of information to discover trends and patterns.
Create statistical models and machine learning algorithms that provide insights and direction for overall game feature design and level design.
Develop tools and processes that will help data scientists and stakeholders more efficiently generate data insight through our very rich game data.
Build automated data flows.
Work in close collaboration with game teams to identify and prototype projects involving machine learning features.
Research, implement, and improve machine learning solutions to improve our game production processes or player experience.
Collaborate with other data scientists and engineers to industrialize machine learning solutions into innovative products and business processes.
Review relevant academic and industry research to identify useful algorithms, techniques, libraries, etc. Monitor the latest machine learning/artificial intelligence trends and cutting-edge techniques to leverage them in our projects.
Collaborate with worldwide and local stakeholders to share ideas, best practices, and methodologies.
Present information using data visualization techniques to both technical and non-technical team members.

What are we looking for?

Bachelor’s degree in a relevant field (applied mathematics, statistics, or data mining).
Proven experience with developing machine learning systems in a professional or academic environment.
Understanding of the mathematical foundations of machine learning algorithms and knowledge of probability theory and mathematical statistics.
Proficiency in Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, etc.) and data models and architectures.
Experience using machine learning frameworks (Pytorch, TensorFlow, MxNet, Caffe, etc.).
Teamwork experience.
Intermediate or higher level of English and Russian.
Readiness to work remotely.

What additional skills will help you stand out?

Experience with reinforcement learning, k, NLP, and other state-of-the-art techniques.
Experience with other programming languages (C++, C#, R, etc.).
Familiarity with data extraction across different database architectures (structured and non-structured).
Experience with CUDA, cuDNN,
Experience with cloud data/data processing services.
Advanced data visualization skills.
Experience in game development industry.