Senior Machine Learning Engineer

• 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.

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.

,[design and implementation of systems processing medical data, in particular designing systems using machine learning methods;, conducting experimental research of designed algorithms, in particular deep neural networks used to process image data;, validation and evaluation of the correctness of algorithms in each phase of software development, from proof-of-concept verification, through prototype development;, creation of project documentation, including reports from conducted experiments;, cooperation with software engineers and clients to develop technical solutions and components in IT projects;, analysis of business requirements and design of technical architecture for testing and implementing comprehensive solutions;, mentoring and substantive supervision of the work of machine learning engineers;, carrying out tasks assigned within projects in cooperation with other machine learning engineers and clients;, preparation of knowledge exchange and process optimization in the team;] Requirements: AI, Deep learning, Python, Machine learning, PyTorch, NumPy, SciPy, pandas, GPU, AWS, ITK/VTK/PyVista, Jupyter Notebook Additionally: a professional development budget, Group insurance, Medicover health insurance, Flat structure, Small teams, International projects, Events and team-building activities, Free coffee, Free parking, Startup atmosphere.