Machine Learning Engineer

Stack

Responsibilities

• ▹Build and improve ML models, mostly for computer vision tasks
• ▹Handle the full ML process: data collection and preparation, training, testing, and iterative improvement
• ▹Work on segmentation, detection, classification, Diffusion Models, LLMs, VLMs, and other custom problems
• ▹Create fast prototypes and turn successful ones into real products
• ▹Work closely with other teams to bring models into the product

Requirements

• ▹4+ years of real-world ML experience, including at least 2 years in computer vision
• ▹Good understanding of building ML systems end-to-end
• ▹Hands-on experience with object detection, segmentation, img2img, or generative networks
• ▹Ability to read, understand, and implement ideas from research papers
• ▹Staying current with top conferences (CVPR, NeurIPS, ICCV)
• ▹Strong skills in Python and PyTorch
• ▹Experience optimizing models for efficient inference (CPU, GPU, NPU), quantization, pruning
• ▹Able to work with large datasets
• ▹Comfortable working independently and taking full ownership

Nice to have

• ▹Experience in research (PhD, papers, or personal projects)
• ▹Training or fine-tuning foundational models (LLMs, VLMs)
• ▹Training or fine-tuning diffusion models for image generation or enhancement
• ▹Familiarity with classical image processing techniques
• ▹Experience with deep learning inference frameworks (ONNX Runtime, OpenVINO, Core ML)
• ▹Strong C++ skills

Soft skills

What we offer

• ▹Work with a strong team, opportunity to make substantial contributions to award-winning photo editing tools
• ▹Educational allowance
• ▹English and German classes

About the company

Skylum allows millions of photographers to make incredible images. Its award-winning software automates photo editing with AI while leaving creative control in the hands of the artist. Skylum is a Ukrainian company that regularly donates to support Ukraine.