Snke
Healthtech
(Senior)MachineLearningEngineer–VideoAI
Neural analysis suggests this role is
optimal for mid candidates.
“(Senior) Machine Learning Engineer – Video AI at Snke. Skills: Machine Learning, Video AI, Computer Vision. Develop machine learning applications. Analyze video data”
What You'll Achieve.
Improve surgical workflows; Enable smarter surgical procedures; Enable efficient surgical procedures; Enable safer surgical procedures; Enhance patient outcomes; Impact daily work of medical professionals
Industry & Context.
What They're Looking For.
Must Have
Degree in Computer Science, natural sciences, or similar, 3+ years of professional experience in modern machine learning methods, 3+ years of professional experience in classic computer vision approaches, Experience in state-of-the-art ML tooling, Experience in experiment management tooling, Experience in containerization tooling, Experience in processing pipelines tooling, Experience in data version control tooling, Profound demonstrated experience in developing complex software systems in Python, Profound demonstrated experience in developing complex software systems in other programming languages
Nice to Have
Experience gained during a range of projects in an industrial setting, Worked on a PhD in a relevant area, Good knowledge in the setup and operation of cloud-based computing environments, AWS experience, Experience of working on AI-based products in the med tech industry
What You'll Do.
Develop machine learning applications
Improve surgical workflows
Build services on the Snke platform
Extract meaningful insights
Drive innovation in intelligent assistance tools
Drive innovation in automation
Work on learning-based solutions
Process surgical videos
Participate in machine learning development life cycle
Engineer requirements
Experiment with models
Push limits of intelligent software components
Analyze surgical procedures
Shape development of AI based video solutions
Shape productization of AI based video solutions
How You'll Work.
Team & Collaboration
Work closely with software developers; Work closely with ML engineers
Full Job Description
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. 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 AI based video solutions for medical use-cases * Contribute to our success with yo
Applying for this (Senior) Machine Learning Engineer – Video AI role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Snke?
Real rants from real employees. Read before you apply.