Senior Machine Learning Engineer – Video AI

Snke; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

30 vacation days

Hybrid work model in Germany

Bike leasing

Urban Sports Club membership

Parking garage & bike storage

Company restaurant & in-house café

Rooftop workspace

Zusammenfassung

Snke, headquartered in Munich, is seeking a (Senior) Machine Learning – Video AI to develop and deploy ML applications that analyze surgical video and sensor data. You will work with software and ML engineers to build services on the Snke platform, extracting insights to enable smarter, safer procedures and improved patient outcomes.

You will leverage modern ML tooling, pursue innovative AI-driven video solutions, and contribute to medical use-cases with your independent, self-driven work style.

Qualifikationen

• 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.
• Experience with state-of-the-art ML tooling related to experiment management, containerization, orchestration, processing pipelines and data version control.
• Proficient in developing complex software systems in Python and/or other programming languages.
• Experience in industrial projects or a relevant PhD.
• Good knowledge of cloud-based computing environments (AWS) is a plus.
• Experience on AI-based products in med tech is a plus.

Aufgaben

• Develop and deploy ML applications that analyze video and sensor data from the operating room to improve surgical workflows.
• Collaborate with software developers and ML engineers to build services on the Snke platform that extract insights.
• Leverage ML training platforms and strong software engineering skills to drive innovation in AI-based video solutions.
• Work on learning-based solutions for surgical video analysis (event detection, segmentation, object detection).
• Participate in ML lifecycle from requirements engineering to deployment.
• Shape the development and productization of AI-based video solutions for medical use-cases.

Kenntnisse

Machine Learning

Python

Computer Vision

Experiment management

Containerization

Orchestration

Cloud/AWS

Software engineering

Healthcare AI

Ausbildung

Bachelor's degree in CS/science

Tools

Docker

Kubernetes

Git

Jobbeschreibung

About us

Founded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We're experts specializing in large platforms, digital health and software-driven medical technology. By delivering a trusted orchestration layer, Snke empowers healthcare providers, societies, registries, agencies and all partners to deploy cutting-edge solutions for safe and efficient interventions and enhances patient outcomes. Beyond our Munich headquarters, we have core teams in Chicago, Heidelberg, San Diego and Tel Aviv. Snke fosters global collaboration to create technologies that are smart, enabling and holistic-helping healthcare providers deliver meaningful change.

What you'll 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're 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-art 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-based computing environments (ideally AWS)is a plus
• Experience of working on AI-based products in the med tech industry is a plus

Why Snke

• Asupportive,internationalteamconnectedbysharedvaluesandacultureoftrust
• Meaningfulresponsibilitieswithalastingimpactonglobalhealthtech,improvingmedicaldecisionsandpatientoutcomes
• 30vacationdays,plusDecember24thandDecember31st
• FlexibleworkinghoursandahybridworkmodelwithinGermany
• Bikeleasingviaourpartner“BikeLeasing”
• UrbanSportsClubmembershipwithemployercontribution
• Centrally located, modern workspace with a 212 m² rooftop terrace

• Asupportive,internationalteamconnectedbysharedvaluesandacultureoftrust
• Meaningfulresponsibilitieswithalastingimpactonglobalhealthtech,improvingmedicaldecisionsandpatientoutcomes
• 30vacationdays,plusDecember24thandDecember31st
• FlexibleworkinghoursandahybridworkmodelwithinGermany
• Bikeleasingviaourpartner“BikeLeasing”
• Parkinggarageandsecureundergroundbikestorage
• Subsidizedcompanyrestaurantandin-housecafé
• UrbanSportsClubmembershipwithemployercontribution
• Regularafter-work,team,andcompanyevents
• Centrally located, modern workspace with a 212 m² rooftop terrace