Senior Machine Learning Engineer – Video AI

What you\u2019ll do

As (Senior) Machine Learning – Video AI at Snke you will develop and deploy machine learning applications that analyze video and sensor data from the operating room to improve surgical workflows. You will work closely with software developers and ML engineers to build services on the Snke platform that extract meaningful insights and enable smarter, more efficient, and safer surgical procedures. In addition, you will leverage modern ML training platforms and strong software engineering skills to drive innovation in intelligent assistance tools and automation.

• Work on learning-based solutions for a variety of tasks in medical data analysis with a particular focus on the processing of surgical videos (e.g. event detection, image segmentation, object detection and more)


• Participate in all phases of the machine learning development life cycle (from requirements engineering and data processing to experimentation, model development/training, and ultimately deployment of solutions)


• Push the limits of intelligent software components for surgical procedure analysis, making use of the ever increasing amounts of video data


• Shape the development and productization of AIbased video solutions for medical use-cases


• Contribute to our success with your creative ideas and your independent and self-responsible way of working, ultimately impact the daily work of medical professionals around the world

What we\u2019re looking for

• Degree in Computer Science, natural sciences, or similar background


• 3+ years of professional 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-\u2018art ML tooling related to experiment management, containerization, orchestration, processing pipelines and data version control.


• Profound demonstrated experience in developing complex software systems in Python and/or other programming languages


• Ideally, you gained this experience during a range of projects in an industrial setting, or you have worked on a PhD in a relevant area


• Good knowledge in the setup and operation of cloud-\u2011based computing environments (ideally AWS)is a plus


• Experience of working on AI-\u2011based products in the med tech industry is a plus

Why Snke

• Asupportive,internationalteamconnectedbysharedvaluesandacultureoftrust


• Meaningfulresponsibilitieswithalastingimpactonglobalhealthtech,improvingmedicaldecisionsandpatientoutcomes


• 30vacationdays,plusDecember24thandDecember31st


• FlexibleworkinghoursandahybridworkmodelwithinGermany


• Bikeleasingviaourpartner\"BikeLeasing\"


• Parkinggarageandsecureundergroundbikestorage


• Subsidizedcompanyrestaurantandin-housecafe


• UrbanSportsClubmembershipwithemployercontribution


• Regularafter-work,team,andcompanyevents


• Centrally located, modern workspace with a 212 m^2 rooftop terrace

Contact person

Tatjana von Freyberg