Generative AI Engineer
Job Summary
Job Description
- 5+ years ML Engineer experience
- 3+ years Generative AI/LLM experience
- Diffusion model experience (Stable Diffusion, FLUX, Imagen)
- Generative model experience (fine-tuning, LoRA, DreamBooth)
- ControlNet, T2I-Adapter, Style Transfer experience
- Dataset preparation and balancing knowledge
- Basic Computer Vision knowledge (CNN, image embeddings)
- Inference customization and image generation experience
- Flexible schedule
- Work from anywhere (except Russia & Belarus)
- Health insurance
- Psychologist reimbursements
- Paid vacation & sick leave
- Gym memberships & fitness app reimbursements
- Conference & course payments
- Language course discounts
- Company events & merch
7 skills required
Job Details
Generative AI Engineer
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’re building a cutting-edge AI team inside one of the fastest-growing projects at Playrix, a top-grossing title in the global mobile games market.
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’re looking for a Generative AI/ML Engineer (СV/LLM) who’s excited to work at the intersection of technology and visual storytelling. You’ll have the chance to experiment with the latest in diffusion models, fine-tuning, and style control, and to build tools that go straight into production — used by a top-tier art team creating content for tens of millions of players.
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 .
Tasks
- Conduct fine-tuning of FLUX models on style datasets of our games.
- Customize character styling according to the artistic requirements of the project.
- Use LoRA, DreamBooth, Style Transfer to improve generation quality.
- Select and optimize inference parameters (Guidance Scale, Denoising Steps, Base Shift).
- Collecting and preparing datasets for training models and LORA, tailored to the project's style
- Developing and optimizing pipelines for working with graphics, visualizing processes, and promoting AI within the project.
Requirements
- 5+ years of experience as machine learning engineer.
- 3+ years of experience in working with Generative AI/LLM and deep learning (PyTorch, JAX, TensorFlow).
- Experience with diffusion models (Stable Diffusion, FLUX, Imagen).
- Experience with generative models (fine-tuning, LoRA, DreamBooth).
- Experience with ControlNet, T2I-Adapter, Style Transfer tools.
- Understand the principles of dataset preparation and balancing.
- Have basic knowledge of Computer Vision (CNN, image embeddings).
- 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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