Machine Learning Engineer (Computer Vision)

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).