Machine Learning Engineer
Resolution Games AB / Datajobb / Stockholm
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hela Sverige Machine learning (ML) is quickly becoming an integral part of the game industry and at Resolution, we have an ambitious goal to make our games even more fun with cutting edge ML.
Are you excited about creating human-like bots for players to test their mettle against or find a reliable team-mate quickly? Are you passionate about empowering artists with generative content co-creation tools? How about the prospect of supercharging QA teams by automating game testing and game balancing? Or generating real-time avatar animation for our NPCs in VR/AR? Our games and production processes offer a virtually unlimited pool of rich and exciting ML problems to work on.
About the role
As a machine learning engineer at Resolution games, you will be part of a small but growing ML team that successfully develops and ships machine learning products. In this role you will contribute to designing, implementing, and evaluating machine learning solutions for specific game teams to solve exciting business problems. These include bot development for player-facing experiences, automating game testing, real-time animation generation for NPCs, content generation, and many other problems in our games, development, and operations.
In this role, you will be expected to contribute to the success of ML projects as a part of our team and develop your capability to independently lead projects in the future. You will also reflect on the societal impacts surrounding Resolution Games' ML products and drive best practices in ML ethics throughout the development process.
What you'll do
• Working with game teams to successfully integrate ML into game codebases or production pipelines. For example, integrating deep RL frameworks like RLlib or Unity ML Agents.
• Participating in the ML development lifecycle. This includes collecting and wrangling data; architecting, developing, and training ML models; and evaluating model behavior within game features.
• Contributing to best practice MLOps infrastructure like CI/CD for data, model, and evaluation pipelines; model and data versioning, centralized metrics tracking. For example, using MLFlow and DVC to version models and datasets.
• Keeping track of SOTA ML techniques that are relevant to potential products. For example, actively contributing to our ML reading group.
• Communicating the impact of ML projects to both technical and non-technical stakeholders. For example, delivering a GDC talk about our ML work.
Requirements
• At least 1 year experience with common ML frameworks such as TensorFlow, PyTorch, Keras, Torch, Caffe, etc.
• Strong programming skills in Python.
• Understanding of modern Machine Learning concepts.
• Demonstrated ability to collaborate and communicate with engineering teams.
Nice to have:
• Relevant education related to machine learning/a related discipline or demonstrated experience working on modern deep learning and ML techniques.
• Experience with deep learning and ML in applications relevant to our games. For example, bot training for players, automated game testing, asset/content generation, animation synthesis, etc.
• Experience in reinforcement learning and/or imitation learning (preferred)
• Experience in generative models or ML for procedural content generation.
• Experience in resource-constrained/on-device/mobile ML solutions.
• Strong programming skills in C#.
• Experience working with a game engine (e.g. Unity3D, Unreal Engine, GameMaker) and game development.
• Good understanding of MLOps practices, model qualities, metrics, tracking model performance in production.
• Experience with Perforce and Git.
• Experience working with VR and/or AR.
As a person we believe that you are a great communicator since you will be working with a lot of the other departments and stakeholders at resolution games. To be successful and enjoy this role we also believe that you have a high level of autonomy. We believe that you have great self-leadership skills and that you have a strong interest in AR and VR technology.
Want to learn more about ML at Resolution Games? Check out our Employee Spotlight video (
https://jobs.resolutiongames.com/departments/machine-learning) with Mikhail who works as a Machine Learning Engineer!
Who we are
Resolution Games is a visual computing studio with a proven track record creating immersive gaming experiences for all. We believe that VR and AR aren't just an add-on for gaming; they are the next logical steps for games. As players and game developers alike, we've always dreamed of this day - the day when we can be IN the games we love. That day is finally here, and we are putting all of our energy into making the most of it for all, whether it's creating a positive experience for someone testing out VR for the first time to delivering a rich, in-depth multiplayer game that keeps enthusiasts hungry for more.
We are looking for someone who wants a unique opportunity and enjoys collaborating. Someone who wants to be a part of a team raising the bar and creating a new set of standards. Our colleagues have can-do attitudes who appreciate a small studio culture. Therefore, even though we have grown, we continue to work in small teams and experiment while tackling complex challenges. We value having every voice heard and seek out diversity, equity, and inclusion in everything we do. Last but not least, we want those of you who are not just skilled but also a great addition to the team. That is because we believe in team over the individual, a great mix of freedom with responsibility, and that people should always come before the process. P.S. Employee stock options are available.
Varaktighet, arbetstid
Heltid Until further notice
Publiceringsdatum2022-10-25ErsättningLön enligt överenskommelse
Så ansöker duSista dag att ansöka är 2023-04-13
Klicka på denna länk för att göra din ansökanFöretagResolution Games AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Resolution Games AB (org.nr 559009-8199),
https://www.resolutiongames.com/ Arbetsplats Resolution Games
Kontakt Sofia
sofia.jonsson@resolutiongames.com +46 704663689 Jobbnummer 7107443
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