📍 Москва (м. Спортивная)Полная удалёнка
Специализация
Data Science / Machine Learning
Stack
Machine LearningDeep LearningPyTorchTensorFlow
Conundrum Euler is a plug-and-play software solution for computer vision defects inspection. It helps to detect and identify surface defects during manufacturing. It is already in the production stage.
They are looking for an experienced data scientist who would help us to build the best computer vision algorithms for defects inspection.
What you will do
- Develop CV algorithms for real time defects inspection.
- Prototype experimental solutions with Python and modern DL frameworks.
- Analyse algorithm performance bottlenecks and propose solutions for improvement and.
- Optimization.
- Prepare new algorithms for deployment and support deployment to production.
- Monitor algorithms metrics, statistics and performance.
- Work in a team and collaborate with colleagues to contribute into common knowledge base.
- Manage individual project priorities, deadlines and deliverables.
Job Requirements
- Over 3 years of work experience in Machine Learning.
- B.S./M.S./PhD in machine learning, computer science or equivalent study in related fields.
- Understanding of modern ML/DL algorithms and architectures.
- Knowledge of Python and a DL framework (PyTorch or TensorFlow).
- Excellent maths skills, including Linear Algebra, Geometry, Calculus and Statistics.
- Grasp the cutting-edge technology and development trends in the machine learning algorithm.
- Areas which you are responsible for.
- Solid understanding of classical computer vision tasks (classification, segmentation.
- Detection, generation, etc.).
- Ability to postulate and verify research hypotheses, explain and present results.
- English – intermediate.
- Good communication and interpersonal skills.
Nice to have:
- Experience in industrial development of systems for image or video processing.
- Experience with computational geometry, neural rendering, new view synthesis.
- Experience in computer graphics (UE, Unity, OpenGL).
- Experience in GANs/reinforcement learning.
- Kaggle achievements.
- Experience in scientific papers implementation.
What they offer
- Work with a globally leading machine learning team which addresses challenges of the.
- Industrial area.
- Write scientific papers and participate in thematic conferences.
- Attractive equity package as an early employee.
- Office Location – 10 minutes walk from Sportivnaya Underground Station (Moscow).
Евгения Кочеткова Manager
