(Senior) Machine Learning Engineer

Company Description

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! 

Job Description

We are seeking a (Senior) Machine Learning Engineer with strong background in machine learning and software engineering to shape the future of our product portfolio.

In this position, you will

• work on learning-based solutions for a variety of tasks in medical image analysis (e.g. image segmentation, landmark detection, object detection, and more)
• push the limits of intelligent software components for medical procedure support, making use of the ever increasing amounts of medical data
• drive your creative ideas from initial prototypes to final product release
• learn together with your colleagues by working on challenging projects
• ultimately impact the daily work of medical professionals around the world

Qualifications

• Education in Computer Science, Mathematics, Physics, or a similar background
• Ideally, PhD or industry experience in a relevant area
• Demonstrated experience in using machine learning methods and computer vision algorithms to solve challenging problems
• Interest in details of machine learning methods and ability to adapt them
• Strong interest and skills in software engineering
• Strong knowledge of Python and at least basic knowledge of C++
• Eagerness to develop robust and scalable software as part of a diverse team
• Fluency in English

Additional Information

• A mutually-supportive, international team
• Opportunity to build career experience in an exciting international company with a lasting impact on medical technology based in Munich
• Flexible working hours
• Secure bicycle storage room
• Subsidized catering service 
• Subsidized Gold Gym membership and access to Brainlab headquarters modern gym
• Centrally located, modern work spaces with a great 212m² roof terrace

Ready to apply? We look forward to receiving your online application including your first available start date.

Contact person: Daniel Sypli