Deep Learning Engineer

Stack*

• Python.
• Deep Learning Framework (e.g. Tensorflow 2.0, PyTorch).
• Open Source Libraries (e.g. detectron, mmdetection).

Your tasks

As a Deep Learning Engineer, you design innovative deep learning algorithms for detecting indoor objects in 360-degree images (e.g. with object recognition and semantic segmentation).

With your profound experience in agile software development, you define the design of software-components and interfaces, as well as implement and test those, based on state-of-the-art software-principles.

You will accompany the entire development process from the first prototypical version to the usage in production.

Requirements

• Master/Bachelor in Computer Science or related degree.
• Very experienced handling deep learning frameworks, e.g. Tensorflow 2.0, Pytorch. Able to implement the latest DL model using existing API, open-source libraries in a short time.
• Good understanding of the mainstream deep learning models for object detection and segmentation.
• Knowledge of state-of-the-art computer vision for all components of the machine learning cycle (data preprocessing, data pipelines, evaluation metrics, logging frameworks etc.).
• Familiar with the agile software development process, CI/CD workflow, ticket management, code-review, version control, etc.
• Good English skills, especially for writing and reading documentation.

The salary comes from Germany. To receive it safely, you must have a valid account outside the Russian Federation, the Republic of Belarus and Ukraine.