Our flagship product - SKY ENGINE AI - is the world’s first SaaS platform for generating synthetic data for Computer Vision models. It’s a powerful tool for data scientists and Vision AI engineers, enabling them to train algorithms with unprecedented precision and speed.
Behind every great visual project stands a great pipeline - and that’s where you come in. As a Python Engineer in our Pipeline Team, you’ll craft the tools and systems that keep our creative teams moving fast, seamlessly, and with precision. You’ll collaborate with artists, supervisors, and tech teams to improve automation, solve complex technical challenges, and bring cutting-edge tools to life.
responsibilities :
Support, maintain, and improve existing pipeline tools and workflows.
Troubleshoot technical issues across multiple projects and departments.
Research and evaluate new tools and technologies.
Write modular, reusable and maintainable code.
Collaborate with the Head of CG, supervisors, team leads, and artists to assess and refine pipeline needs and solutions.
Maintain coding standards and participate in code reviews.
requirements-expected :
4+ years of relevant experience
Proficiency in Python, good understanding of language features, including OOP, context managers, decorators and generators.
Proven experience contributing to a shared, existing Python codebase within a team environment.
Basic understanding of math relevant to image or geometry processing.
Experience with version control systems (git) and code review processes.
Ability to work both independently and as part of a team.
Experience creating user interfaces with PyQt/PySide.
Experience with 3D content creation software like Blender, Maya or Houdini and its API will be a strong plus.
Strong communication skills in English (min. B2).
offered :
Hardware provided
Sport subscription
Private healthcare
Training budget
Bonus policy
Modern & pet friendly office (Puławska 182 Myhive IO-1)
No dress code
Table tennis
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
