Snke OS™ is a universally deployable digital B2B platform, founded in 2020 & headquartered in Munich. Emerging technologies continue to drive a digital transformation in the healthcare economy. Our founders recognized the potential for value creation by decoupling & deploying their best-in-class platform & team so that other companies can scale up & innovate efficiently. Fueled by AI & big data analytics, Snke OS delivers the platform & infrastructure that enables partners across the healthcare industry to deploy digital solutions for safer & more efficient interventions.

The 150-person Snke OS team brings a wealth of experience to the new company with backgrounds in large platforms, digital health & software-driven medical technology. Let’s impact the industry together! We are looking for pioneers to lead fast & lead first with Snke OS.

For our ambitious and growing Data Intelligence department, we are looking for a machine learning engineer with experience in state-of-the-art ML training platforms. 

In this position, you will 

• shape the development and productization of AI based solutions for medical use-cases 
• work on learning-based solutions for a variety of tasks in medical data analysis with a particular focus on the processing of medical images and videos (e.g. image segmentation, object detection and more) 
• design, build, and maintain systems to enable complex development workflows throughout the machine learning life cycle (from data processing to experimentation, model development/training, and ultimately deployment of solutions) 
• set up and operate complex computing environments based on local and cloud resources, using a modern DevOps / MLOps tech-stack 
• establish new standards in development efficiency, automation, and reproducibility 
• set up processing pipelines to make complex medical data accessible in the best possible way 
• share your knowledge and provide technical guidance to your colleagues in the development team 

• Education in Computer Science, natural sciences, or similar background 
• Ideally, you have worked on a PhD in a relevant area or gained this experience during a range of projects in an industrial setting 
• Profound demonstrated experience in using modern machine learning methods along with classic computer vision approaches to solve challenging problems in the area of image processing 
• Experience in state-of-the-art ML tooling related to experiment management, containerization, orchestration, processing pipelines and data version control. 
• Good knowledge in the setup and operation of cloud-based computing environments (ideally AWS) 
• Solid programming experience in Python; C++ is a plus 
• Preferred: demonstrated experience in designing complex computing environments based on Linux and ideally Windows, including solid understanding of networking, storage, and authentication concepts as well as infrastructure-as-code technologies 

• Centrally located, modern work spaces
• 30 days of vacation plus 24.12. and 31.12.
• Flexible working hours as well as hybrid work model within Germany
• Secure bicycle storage room
• Regular after-work, team & company events
• Great 212m² roof terrace
• International team of supportive colleagues
• Comprehensive training and continuing education opportunities

Interested? Then we are looking forward to receiving your online application!

Contact person: Daniel Sypli