Position: Machine Learning Engineer
Company: Skylum Software
Category: Data Science
Experience required: 2y
English level: intermediate

Role Mission: You will be responsible for developing new and improving existing machine learning models used in our product. The main tasks are somehow related to computer vision and image processing. Among the tasks that you will solve will be both classic problems: segmentation, detection, classification and other, and unique problems that do not have ready-made solutions.

Requirements:
— 3+ years of commercial experience, including at least 2 years in computer vision field;
— Strong understanding of machine learning: you should be familiar with the process (data collection, training, evaluation, and making iterative improvements) of building effective learning systems;
— Practical experience in at least one of the following problems: object detection, segmentation, face recognition, classification, landmarks;
— Strong knowledge of Python3, bash or similar scripting language;
— Proficiency with TensorFlow, PyTorch or any other DL frameworks NumPy, OpenCV, Pandas, Jupyter-notebook;
— Expertise in visualizing and manipulating big datasets.
 
Will be a plus:
— R&D experience, comfortable with change and building throwaway work;
— Experience with OpenVINO, TensorRT, Core ML, TensorFlow Lite and DL models conversion tools;
— Self-manageable person, able to work without supervision;
— Ability to design and implement complex algorithms;
— Practical experience with GANs is a strong plus.

What do we offer:
— Possibility to work with true professionals and simply amazing people;
— Possibility to work on a one-of-a-kind photo editor — Luminar, which runs on Artificial Intelligence and makes editing fun and simple for everyone;
— Flexible schedule; working day can start at 8 am or at 11 am. Remote work (for now);
— 21 days of paid vacation per year;
— Medical insurance and 21 days of paid sick leaves;
— Team buildings and cool corporate parties.

If you are looking forward to working with true professionals and simply amazing people & product — we are waiting for your CV!