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, Python. Develop and deploy machine learning applications. Analyze video and sensor data”
What You'll Achieve.
Improve surgical workflows; Enable smarter, more efficient, and safer surgical procedures; Enhances patient outcomes; Impact daily work of medical professionals
Industry & Context.
What They're Looking For.
Must Have
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
Nice to Have
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, 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
What You'll Do.
Develop and deploy machine learning applications
Analyze video and sensor data
Build services on the Snke platform
Extract meaningful insights
Drive innovation in intelligent assistance tools
Work on learning-based solutions
Participate in machine learning development life cycle
Push limits of intelligent software components
Shape development of AI based video solutions
Contribute creative ideas
How You'll Work.
Team & Collaboration
Work closely with software developers and ML engineers; Fosters global collaboration
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
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