Career

We are looking for a Computer Vision Engineer to join our stellar team on the quest to fight – and win – cancer with AI.

WHAT’S THE CHALLENGE YOU WOULD HELP US TO SOLVE AND HOW?

MVision was born out of a deep desire to harness AI in winning the war on cancer. We exist to optimize the radiotherapy treatment that 60% of all cancer patients undergo. As we continue to grow, our engineering team is in search of computer vision researchers. Would that be you?

The problems you would be working on:

• Image Registration (multi-modality)
• Image Segmentation
  • Improve performance (reduce computation time, failure rate, etc)
  • Make more efficient use of training samples, i.e. reduce annotation burden
• Speed-up (reduce time and/or number of clicks required) annotation of 3D medical images
  • Interactive methods, which can intelligently adjust the boundary depending on user clicks/scribbles/etc.
  • Using CRF/Graph-cuts/Random walker/etc. to snap contours to structure boundaries
• Image Translation: Generate synthetic scans to augment training data
• Radiotherapy Plan Generation
• Self-supervised learning

Your tasks would include:

• Preparing data pipelines
• Managing machine learning experiments
• Reproducing methods from the latest research papers and adapting them for our data/problems
• Analyzing the performance of machine learning models, identifying failures, and improving performance

Skills we are looking for:

• Strong background in any of the following fields: 
  • medical image analysis
  • computer vision
  • machine/deep learning
  • computational microscopy
  • data science and statistics
  • radiomics, etc.
• Pytorch and/or Tensorflow
• Good publication record and/or past record of good performance on public challenges/datasets
• Motivation to push the current state-of-the-art, propose novel ideas, and implement them quickly
• Please provide a brief report of 1 or a few ML/CV projects that you are most proud of, including what tasks were your responsibility and how did you handle them. Sample codes would be great.

We are looking for someone with about 1-3 years of experience. However, years are not always the best measures of excellence – quite the contrary. So if you have a bit fewer kilometers behind you but a strong and curious engine for the road ahead, bring it on!

It is also seen as an advantage if you are familiar with any of the following:

• Past experience in the following research areas:
  • Semantic and/or instance segmentation
  • Image registration (multi-modality)
  • Image translation (GANs) from unpaired images
  • Unsupervised learning
• Working (including visualizing) with 3D data (preferably medical, e.g. CT/MR scans)
• Cloud: Azure, AWS, etc
• Familiarity with the DICOM standard
• Familiarity with radiotherapy and/or radiology

Other info:

• Apply as soon as possible – the position will be filled immediately when the right person is found
• Position: Permanent, fulltime
• Start: As soon as possible
• Location: HQ and team in Helsinki but you choose where you work

About MVision AI:

MVision AI is a pioneering, cloud-based software service provider for radiotherapy treatment planning. Our AI-powered automatic segmentation tool helps to standardize contouring and automate segmentation to streamline the radiotherapy treatment planning workflow. Our deep learning model produces consistent contouring in minutes while maintaining the highest standards of quality for every patient, every time.