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.

— 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!

About Skylum Software

About us:
We’ve been around for almost 12 years, and growing stronger every year. We began as MacPhun, a startup with only 10 people who created apps for Mac.
Now we’re Skylum, a global imaging technology company with offices in New York, Kyiv, and Tokyo. We’ve grown to more than 100 employees with one goal and one vision for our future. Today, Skylum, allows millions of photographers to make incredible images faster. We automate photo editing with the power of Artificial Intelligence yet leave all the creative control in the hands of the artist.

Our mission:
To create products that will bring photography to the next level.
We want to reach the point where Skylum is the first company comes to mind when talking about photo editing. Our goal is to be the editing software of choice for photographers.

Our vision:
The next generation image editor, powered by Artificial Intelligence. Result oriented instead of tool centric. The most beloved software that allows millions of creators exceed their expectations, get the job done faster and have fun.
Our product — Luminar — a one-stop solution for editing and managing photos with unique AI tools and over 100 pro-level features.

Skylum thrives for innovation, and has won industry awards, including Best Mac App of 2017, EISA Best Product 2019-2020, Outdoor Photographer Editors’ Picks, The LUCIE Technical Awards for Best Software Plugin 2019, TIPA World Awards for Best Imaging Software 2019.2020 Editor’s Choice by Macworld for Luminar 4.

Benefits of working with us:
● Challenging and innovative projects;
● True professionals and simply amazing people as your coworkers;
● 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;
● 21 paid vacation days per year;
● Medical insurance and 21 paid sick leave;
● Corporate and teambuilding events where we celebrate the successes and achievements of our teams and the company;
● Ample working space in the Podil neighborhood of Kyiv in an office equipped with everything you might need for productive and comfortable work.

Company website:

DOU company page:

Job posted on 27 April 2021
9 views    0 responses

Для отклика на эту и другие вакансии на Джинне войдите или зарегистрируйтесь.