Playrix is one of the most successful mobile game development companies
in the world. In terms of mobile application revenue, we rank first in Europe and are in the top 3 worldwide. Our games have been installed 2.3 billion times (that's a third of the world's population!) and more than 30 million people around the world play them every day.
About the company
Playrix is one of the most successful mobile game development companies
in the world. In terms of mobile application revenue, we rank first in Europe
and are in the top 3 worldwide. Our games have been installed 2.3 billion times (that's a third of the world's population!) and more than 30 million people around the world play them every day.
Team, about the role
We are actively implementing AI into game development. To speed up this process, we have created a cross-project team. It functions as an internal center of expertise, advising teams, selecting solutions, and integrating tools into workflows.
Our goal is to bring generative AI into the art pipeline, helping artists scale creativity while maintaining a consistent visual style across a huge volume of content.
We are currently looking for a Generative AI / ML Engineer who will work closely with the production producer to train and advance the models for the art style stabilisation and bringing the quality to a whole new level (backgrounds, characters, match-3, and UI elements).
This role requires relocation from Russia and Belarus to one of our offices or remote work from other countries (except Russia and Belarus). Find out more here
.
Tasks
- Training generative models in Playrix's corporate art style — fine-tuning models (LoRA, DreamBooth), LoRA training.
- Creating and optimizing prompts to achieve the desired artistic result.
- Working with ComfyUI and other AI tools to build convenient pipelines in production.
- Writing guidelines and training artists in AI tools.
- Experimenting with new approaches and training strategies to achieve the ideal style.
- Customize character styling according to the artistic requirements of the project.
- Select and optimize inference parameters (Guidance Scale, Denoising Steps, Base Shift)
Requirements
- 5+ years of experience as machine learning engineer.
- 3+ years of experience in working with Generative AI/Deep Learning (PyTorch, JAX, TensorFlow).
- Experience with diffusion models (Stable Diffusion, FLUX, Imagen, Qwen).
- Experience with generative models (fine-tuning, LoRA, DreamBooth).
- Experience with ControlNet, T2I-Adapter, Style Transfer tools.
- Understand the principles of dataset preparation and balancing.
- Experienced in inference customization and image generation.
- Fluent Russian language.
Our Perks
Flexibility at work
- For most positions we offer a flexible schedule, and employees can work from anywhere in the world (except for the Russian Federation and the Republic of Belarus). You can do your work however and wherever you like — we only evaluate your results.
Caring for health and well-being
- We provide voluntary health insurance for employees and their children, and reimburse online sessions with a psychologist.
- We offer fully paid vacation days and sick leave. In certain circumstances, you can request additional days off.
- We support leading a healthy lifestyle and reimburse the cost of gym memberships and fitness app subscriptions.
Professional development and education
- We pay for participation in specialized conferences and courses and hold our own internal conferences.
- We offer discounts on English language courses and courses for the languages of the countries in which the company operates.
Events and merch
- We regularly hold offline events like team meetings, big corporate parties, and informal office parties.
- We also regularly organize fun competitions, quizzes, hackathons, and online fitness challenges.
- We have a merch store with an internal currency you can use to buy unique gifts. We give out this currency as a gift for significant dates, and you can earn more by participating in events and company activities.
Work Format
Remote or from one of the company’s offices.
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