Machine Learning Engineer

Job not on LinkedIn

🕒 July 8

🇺🇦 Ukraine – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Skylum

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

👥 B2C

B2B • B2C

Skylum is a Ukrainian company that develops photo editing software. They create intuitive, powerful, and easy-to-use tools for photographers of all skill levels, aiming to make photo editing enjoyable and accessible to everyone. Their flagship product, Luminar Neo, is an award-winning photo editor that leverages artificial intelligence to enable millions of photographers worldwide to edit their photos. Skylum emphasizes creativity and innovation in its products and maintains a commitment to supporting the Ukrainian community through charitable efforts.

📋 Description

• Build and improve ML models, mostly for computer vision tasks. • Handle the full ML process: collect and prepare data, train and test models, and improve them step by step. • Work on both standard and new types of problems. • Create fast prototypes and help turn successful ones into real products. • Work closely with other teams to bring your models into the product.

🎯 Requirements

• 4+ years of real-world experience with ML, including at least 2 years in computer vision. • Good understanding of how to build ML systems from start to finish. • Hands-on experience with one or more of these: object detection, segmentation, img2img, generative networks. • Ability to read, understand, and implement ideas from cutting-edge research papers. • You stay current with top conferences (e.g., CVPR, NeurIPS, ICCV) and can turn academic innovations into practical solutions. • Strong skills in Python and PyTorch. • Experience optimizing models for efficient inference on local devices (CPU, GPU, NPU), including quantization, pruning, and runtime adaptation. • Able to work with and explore large datasets. • Comfortable working on your own and taking full responsibility for your tasks. • Experience with prototyping and working in an R&D cycle.

🏖️ Benefits

• Medical insurance • Twenty-one days of paid sick leave per year • Healthy fruit snacks full of vitamins to keep you energized. • Twenty-one days of paid vacation per year • Fun times at our frequent team-building activities. • An educational allowance to ensure that your skills stay sharp • English and German classes to strengthen your capabilities and widen your knowledge. • The choice of working remotely or in our office space located on Podil, equipped with everything you might need for productive and comfortable work. • A chance to work with a strong team and a unique opportunity to make substantial contributions to our award-winning photo editing tools