Senior Machine Learning Engineer – Video AI

Remotely; München; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working hours

Hybrid work model in Germany

Bike leasing

Descripción de la vacante

Snke is seeking a (Senior) Machine Learning -- Video AI specialist to develop and deploy ML solutions that analyze surgical video and sensor data. You will collaborate with software developers and ML engineers to create services on the Snke platform that deliver meaningful insights and support safer, more efficient surgeries.

You will also advance ML training platforms and software engineering excellence. Ideal candidates have 3+ years in modern ML methods and computer vision, strong Python

Formación

• Degree in Computer Science, natural sciences, or similar background.
• 3+ years of professional experience in modern ML methods and computer vision.
• Experience with ML tooling for experiment management, containerization, orchestration, pipelines and data versioning.
• Strong software engineering skills in Python or similar languages.
• Experience in industrial projects or PhD in a related area is a plus.
• Good knowledge of cloud environments (AWS preferred) is a plus.
• Experience with AI-based med tech products is a plus.

Responsabilidades

• Develop and deploy ML applications that analyze video and sensor data in the OR.
• Build services on the Snke platform to extract insights for smarter surgical workflows.
• Collaborate with software developers and ML engineers to push intelligent video solutions.
• Shape development and productization of AI-based video solutions for medical use cases.
• Contribute ideas and work independently to impact daily medical practice globally.

Conocimientos

ML tooling

Python

Computer vision

Image processing

Experiment management

Cloud computing

Educación

Degree in Computer Science or related field

Herramientas

Experiment management

Containerization

Orchestration

Data version control

Python

Descripción del empleo

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

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.