Senior Machine Learning Engineer

Who are we looking for?

We are looking for a Senior Machine Learning Engineer to join our team.

On a daily basis, you’ll work with Senior Machine Learning Engineers, a Machine Learning Architect, and a client based in the U.S. About the project: We’re applying our know-how and experience from medical projects to image data from a completely different industry—a major challenge, but also an incredibly interesting project in which we’ve already achieved significant success! :)

Technology stack

• Python
• Pytorch, Numpy,
• SciPy
• scikit-learn
• Pandas
• OpenCV
• 3D/4D/nD
• data processing
• GPU
• processing
• MLOps
• (MLFlow or Weights and Biases)
• AWS
• (batch jobs, SageMaker AI, EC2, S3, EFS, CloudWatch etc.)
• Nice
• to have: ITK/VTK/PyVista, jupyther notebook

What will You find here?

• fascinating projects—you can have a real impact on people’s health and lives,
• high technical standards in our projects—you’ll really spread your wings here,
• great people with a proactive approach to work,
• events and team-building activities—we enjoy spending time together😊,
• a professional development budget,
• group insurance,
• medicover health insurance,
• hybrid work arrangements and flexible hours,
• the opportunity to collaborate with the scientific community on an ongoing basis and publish in scientific journals

About the Company

At Graylight Imaging, we develop technologies for the medical field, with a particular focus on analysing medical imaging studies. In addition to commercial projects, we conduct our own R&D, building machine learning algorithms for cardiology. As a member of our team, you’ll contribute to solving problems that no one has solved before, with the goal of tangibly improving people’s health and lives.

• higher technical education (PhD in computer
• science/statistics/mathematics will be an additional asset),
• min. 3 years of experience in the area of ML,
• very good knowledge of visualization
• techniques, data exploration and analysis (especially numerical and image),
• knowledge in the field of statistics,
• mathematics,
• knowledge in the field of machine learning
• (especially deep learning),
• very good knowledge of neural network
• architectures, including CNN, UNet,
• good knowledge of Python,
• very good knowledge of image processing,
• signal analysis and analysis of algorithms,
• ability to efficiently implement and verify
• literature methods, in particular those related to machine learning,
• understanding the advantages and
• disadvantages of algorithms based on machine learning and the ability to
• present developed solutions in a comprehensible and comprehensive manner,
• independence, proactivity, openness to
• change, communication skills, analytical thinking,
• ability to effectively organize work and
• manage time,
• very good knowledge of English – min. C1.