Machine Learning Engineer - remote job

Skylum is hiring a Machine Learning Engineer. The role sits in IT and programming and is fully remote. The company hires candidates based in Europe.

The main tools named in the advert are: Machine Learning, Python. Your CV should show concrete examples of exactly these skills.

The employer did not publish a figure; that is settled at interview. The advert sets no condition on working hours.

This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.

1. A 2-3 sentence summary of the role: Skylum is seeking a senior Machine Learning Engineer to develop and enhance ML models for their photo editing software. You will work on computer vision tasks and contribute to the creation of innovative solutions.

2. What you will do: - Build and improve ML models for computer vision tasks. - Handle the full ML process, including data collection and preparation, model training and testing, and iterative improvement. - Work on standard and novel problems, creating fast prototypes and integrating successful ones into the product. - Collaborate closely with other teams to bring your models into the product.

3. What they are looking for: - 4+ years of real-world ML experience, with at least 2 years in computer vision. - Strong understanding of ML system development from start to finish. - Hands-on experience with object detection, segmentation, img2img, and generative networks. - Ability to implement ideas from cutting-edge research papers and stay current with top conferences. - Proficiency in Python and PyTorch. - Experience optimizing models for efficient local device inference, including quantization, pruning, and runtime adaptation. - Comfort with working on large datasets and taking full responsibility for tasks. - Experience with prototyping and working in an R&D cycle.

4. Terms: - Flexible work schedule. - Office located on Podil, equipped for productive work. - Medical insurance. - 21 days of paid sick leave. - 21 days of paid vacation. - Educational allowance. - English and German classes. - Opportunity to work remotely or in the office.