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(Senior) Machine Learning Engineer – Video AI(m/w/x)
Developing learning-based solutions for surgical video analysis, focusing on event detection and segmentation. 3+ years of ML methods and computer vision experience required. Hybrid work, flexible hours, supportive international team.
Requirements
- Degree in Computer Science, natural sciences, or similar
- 3+ years professional experience in ML methods and computer vision for image processing
- Experience in ML tooling for experiment management, containerization, orchestration, pipelines, and data version control
- Profound experience developing complex software systems in Python or other languages
- Experience from industrial projects or PhD in relevant area
- Good knowledge of cloud-based computing environments (AWS ideal)
- Experience with AI-based products in med tech industry
Tasks
- Develop learning-based solutions for medical data analysis
- Focus on processing surgical videos for event detection, image segmentation, object detection
- Participate in all phases of the machine learning lifecycle
- Conduct requirements engineering and data processing
- Experiment with and develop machine learning models
- Train and deploy machine learning solutions
- Push the limits of intelligent software for surgical procedure analysis
- Leverage increasing amounts of video data
- Shape the development and productization of AI video solutions
- Contribute creative ideas and work independently
- Impact the daily work of medical professionals
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Informal Culture
- Supportive international team
- Culture of trust
Purpose-Driven Work
- Meaningful responsibilities
More Vacation Days
- 30 vacation days
- December 24th off
- December 31st off
Company Bike
- Bike leasing
Parking & Commuter Benefits
- Parking garage
- Underground bike storage
Free or Subsidized Food
- Subsidized company restaurant
Snacks & Drinks
- In-house café
Healthcare & Fitness
- Urban Sports Club membership
Team Events
- After-work events
- Team events
- Company events
Modern Office
- Modern workspace
Startup Environment
- Rooftop terrace
- Home
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- (Senior) Machine Learning Engineer – Video AI(Senior) Machine Learning Engineer – Video AI at Brainlab
(Senior) Machine Learning Engineer – Video AI(m/w/x)
Developing learning-based solutions for surgical video analysis, focusing on event detection and segmentation. 3+ years of ML methods and computer vision experience required. Hybrid work, flexible hours, supportive international team.
Requirements
- Degree in Computer Science, natural sciences, or similar
- 3+ years professional experience in ML methods and computer vision for image processing
- Experience in ML tooling for experiment management, containerization, orchestration, pipelines, and data version control
- Profound experience developing complex software systems in Python or other languages
- Experience from industrial projects or PhD in relevant area
- Good knowledge of cloud-based computing environments (AWS ideal)
- Experience with AI-based products in med tech industry
Tasks
- Develop learning-based solutions for medical data analysis
- Focus on processing surgical videos for event detection, image segmentation, object detection
- Participate in all phases of the machine learning lifecycle
- Conduct requirements engineering and data processing
- Experiment with and develop machine learning models
- Train and deploy machine learning solutions
- Push the limits of intelligent software for surgical procedure analysis
- Leverage increasing amounts of video data
- Shape the development and productization of AI video solutions
- Contribute creative ideas and work independently
- Impact the daily work of medical professionals
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Informal Culture
- Supportive international team
- Culture of trust
Purpose-Driven Work
- Meaningful responsibilities
More Vacation Days
- 30 vacation days
- December 24th off
- December 31st off
Company Bike
- Bike leasing
Parking & Commuter Benefits
- Parking garage
- Underground bike storage
Free or Subsidized Food
- Subsidized company restaurant
Snacks & Drinks
- In-house café
Healthcare & Fitness
- Urban Sports Club membership
Team Events
- After-work events
- Team events
- Company events
Modern Office
- Modern workspace
Startup Environment
- Rooftop terrace
About the Company
Brainlab
Industry
Healthcare
Description
The company develops, manufactures and markets software-driven medical technology, enabling access to improved, more efficient, less-invasive patient treatments.
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