Senior Machine Learning Engineer – Video AI

Snke München 1789049407

What is Senior Machine Learning Engineer – Video AI?

Senior Machine Learning Engineer – Video AI is a professional role at Snke based in München. This role offers competitive compensation and the opportunity to work in the technology sector with modern tools and methodologies.

Employment Type: Types: Experienced, Permanent, Full time / Remote: false

Work Arrangement: Remote work available with flexible scheduling

Industry: Information Technology & Professional Services

Complete Job Description


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 AI based 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

  • A supportive, international team connected by shared values and a culture of trust
  • Meaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomes
  • 30 vacation days, plus December 24th and December 31st
  • Flexible working hours and a hybrid work model within Germany
  • Bike leasing via our partner “BikeLeasing”
  • Parking garage and secure underground bike storage
  • Subsidized company restaurant and in-house café
  • Urban Sports Club membership with employer contribution
  • Regular after-work, team, and company events
  • Centrally located, modern workspace with a 212 m² rooftop terrace
    • Ready to apply? We look forward to receiving your online application including your first available start date.


    Contact person

    Tatjana von Freyberg

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    What skills are required for this senior machine learning engineer – video ai?

    The essential skills and qualifications for this position include:

    Additional preferred qualifications may include problem-solving abilities, strong communication skills, and experience working in collaborative team environments.

    What type of employment is this senior machine learning engineer – video ai?

    This is a Types: Experienced, Permanent, Full time / Remote: false position offering:

    • Competitive compensation in EUR currency
    • Remote work flexibility
    • Professional development opportunities
    • Modern technology stack and tools

    How can I apply for this senior machine learning engineer – video ai?

    To apply for this position, you have the following options:

    Apply Online

    Submit your application directly through the original job posting for the fastest response.

    Contact Person

    Snke

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