You possess strong CS fundamentals and have the confidence to contribute to (and sometimes leading) multiple projects. You are not easily distracted; you can focus on solving the most important problem (top prioritized, and sometimes the hardest) while having the patience to delay what seems urgent, easy but less important tasks. There are 1000 interesting things happening in our Machine Learning every day, but you like to follow through.
As a member of our Machine Learning team, you will design systems that can improve game dev productivity and/or impact the game design process.
You possess a strong background in building reinforcement learning-driven systems and feel comfortable working in a project that stretches different domains and disciplines.
You will be joining a team of knowledgeable programmers with hands-on experience in building machine learning systems.
In this role, you can expect to:
- Work in a challenging and fluid environment for developing state of the art technologies
- Contribute to the Machine Learning workflow framework and infrastructure
- Design and analyze reinforcement learning systems, and algorithms
- Work with data scientists, game developers to build Machine Learning applications
- Evaluate concepts and assumptions with rapid prototyping
- Write robust, quality code and maintain code quality across the team
- Participate in all aspects of the project life-cycle, from ideation to specification to release
- Work on ad-hoc projects and/or requirements may arise as requested
In order to be successful for this role, we are looking for:
- BS/MS in Computer Science or equivalent
- Expert in reinforcement learning or machine learning with software engineering experience
- Experience in working in a mixed team environment of engineers and non-engineering professionals
- Good experience working with source control
- Able to effectively communicate and translate between general ideas and technical practices
- Experience in Python programming, distributed systems, cloud platform (GCP/AWS)
- Experience with PyTorch, or Tensorflow, or other neural networks frameworks
It will be nice if you also have:
- Experience with Unity and game development
- Knowledge in common software development patterns
- Experience in reinforcement learning projects/competitions
- Experience in game development
- An active Github profile
Together, we can create and support some of the best games ever made and continue to entertain the world!
About Kabam
Kabam is a world leader of developing entertaining, immersive, and highly social multiplayer games for mobile devices. They merge consumer behaviour with the art of game design to create experiences that are enjoyed by millions of players across the globe. Each game has raised the benchmark in mobile gaming, bringing high-quality graphics, next-generation technology and revolutionary gameplay to the console in every player’s pocket.
Kabam has partnered with leading entertainment brands like Disney, Hasbro and Universal to create mobile games based on some of the world’s most iconic franchises.
Kabam’s games have generated hundreds of millions of downloads including Fast & Furious 6: The Game, Fast & Furious: Legacy, Marvel Contest of Champions, Transformers: Forged to Fight, Shop Titans and Mini Guns. These games have also received multiple awards such as Apple’s Editor’s Choice and Google Play’s Best Game of the Year.
Founded in 2006, Kabam has studios and offices in Vancouver, Montreal, Charlottetown, San Francisco and Austin. Kabam is a wholly-owned subsidiary of Netmarble Games.
Kabam is an Equal Employment Opportunity employer committed to building a diverse and equitable workplace, and inclusive environment for all existing and potential employees. Employment decisions are based on candidate qualifications and business need, not race, color, ancestry, place of origin, age, sex (including pregnancy), gender identity or expression, sexual orientation, political belief, religion, creed, marital or family status, medical condition, genetic information, physical or mental disability, military or veteran status, prior criminal conviction or any other protected class in accordance with federal, state or provincial and local laws and ordinances. Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.
