R&D center WINSTARS.AI

ABOUT THE ROLE:

We are looking for a Middle Procedural Environment Artist to help us build synthetic data generation pipelines for computer vision tasks. In this role, you will work on procedural scene generation, data rendering, annotation pipelines, and tools that help produce diverse, high-quality datasets for training custom models.

RESPONSIBILITIES:

• Design and develop systems for synthetic data generation for machine learning workflows.
• Build procedural scene generation pipelines with controllable parameters and reproducible outputs.
• Create tools for data rendering, annotation export, and metadata generation.
• Improve realism, diversity, and coverage of generated datasets for training and evaluation.
• Work closely with ML engineers to align generated data with model requirements and failure cases.

• Maintain clean, modular, and scalable code for generation pipelines and supporting tools.

   

THAT WOULD BE WONDERFUL IF YOU HAVE:

• At least 1 year of relevant experience in procedural 3D, rendering, simulation, or technical art.
• Experience with 3D graphics, procedural generation, simulation, or rendering workflows.
• Understanding of computer vision or machine learning data requirements.
• Familiarity with Blender, geometry-based procedural tools, or similar 3D content pipelines.
• Experience with Linux, Git, and collaborative development workflows.

• Ability to work independently on technically open-ended problems.

   

WOULD BE A PLUS:

• Experience with synthetic data generation for detection, segmentation, tracking, or depth-related tasks.
• Familiarity with Blender scripting, Geometry Nodes, or OpenUSD-based workflows.

• Experience with dataset QA, annotation validation, or experiment reproducibility.

   

ADVANTAGES FOR A CANDIDATE:

• Stable and competitive salary;
• Legally compliant gig contract with official tax reporting and payment;
• Work in a cool & experienced team;
• Work on a project you'll be proud to contribute to
• Up to 26 Days Off per year at your convenience;
• Convenient office in Vinnytsia or an opportunity to work remotely;
• Corporate culture with maximum automation of processes;
• Excellent opportunities and prospects for professional growth in a company with a 10-year history.

We are looking for a Middle Data Scientist (Computer Vision) to join our team and work on real-time intelligent systems operating in dynamic environments.

In this role, you will focus on developing and improving computer vision algorithms, working with image and video data, and building robust pipelines that perform reliably in real-world conditions. The position involves a mix of research and practical engineering, where you will experiment with different approaches, evaluate model performance, and contribute to the development of scalable, high-performance solutions.

This is a great opportunity for someone who enjoys solving complex problems, working with modern AI/ML technologies, and seeing their solutions applied in real systems.

THAT WOULD BE WONDERFUL IF YOU HAVE:

• 2+ years of experience in Computer Vision

• 2+ years of experience in Data Science / Machine Learning

• Strong Python skills

• Experience with any of the following: Google Cloud, AWS, Azure

• Hands-on experience with computer vision libraries

• Experience with deep learning frameworks (PyTorch or similar)

• Understanding of object tracking/detection approaches (classical + NN-based)

• Experience working with image/video data (preprocessing, dataset creation, augmentation)

• Solid understanding of model evaluation and benchmarking

• Hands-on experience with model optimization for edge deployment

• Understanding of real-time or near real-time systems

• Upper-intermediate english

WOULD BE A PLUS:

• Experience with C/C++ or Rust

• Experience with Linux-based systems

• Experience with SLAM

• Experience with robotics, control systems, or sensor-based systems

• Familiarity with edge devices (e.g., NVIDIA Jetson, Raspberry Pi)

• Experience with simulation environments

RESPONSIBILITIES:

• Research and implement image and video processing algorithms using both classical and deep learning approaches

• Benchmark and evaluate models across different scenarios and datasets

• Work with video data to create and refine datasets for training and validation

• Develop and improve processing pipelines for real-time performance

• Analyze system behavior in real-world and simulated scenarios to identify issues and improve performance

• Collaborate with engineering teams to integrate solutions into real-time systems

ADVANTAGES FOR A CANDIDATE:

• Stable and competitive salary;

• Legally compliant gig contract with official tax reporting and payment;

• Work in a cool & experienced team;

• Useful & exciting projects;

• Up to 26 Days Off per year at your convenience;

• Convenient office in Vinnytsia or an opportunity to work remotely;

• Corporate culture with maximum automation of processes;

• Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program

• Excellent opportunities and prospects for professional growth in a company with a 9-year history