Website MX Healthcare GmbH

Come help us find every deadly breast cancer early

Better breast cancer screening should be a universal offering to every woman in the world. Vara’s AI-powered software platform, created with screening radiologists in Germany, mitigates much of the human subjectivity associated with reading mammography results—and reduces the repetitive work screening physicians are routinely subjected to—we’re making breast cancer screening more effective, more measurable, and more accessible for everyone, everywhere. By democratizing access to early screening around the world, we deliver measurable impact backed by clinical evidence. We are partnering globally, to deliver breast cancer screening where it is needed most.

As the first company from Europe’s leading AI venture studio Merantix, Vara has grown since 2018 to become a 50-member international team. Our diverse team consists of highly motivated and ambitious entrepreneurs, healthcare professionals, and technology experts. 

Further information can be found on our website:


The machine learning team at Vara researches, develops and productionizes high-performance AI models for breast cancer detection from mammography images. This requires solving a multi-view perception problem with an emphasis on AI safety to meet very high performance requirements. Building on prior work to recognise trustworthy predictions [1], Vara has built a system that surpasses the metrics of individual radiologists via human-AI collaboration [2], and recognises cancers missed by humans enabling earlier detection [3]. With large-scale, prospective testing of the impact on screening system metrics [4], Vara is the established market leader in one of the most advanced public screening systems in the world and has deployed more than a million AI-assisted radiology reads. Despite clinical metrics being improved by AI in today’s clinical practice already, we aim for perfection and continue to work towards fundamental solutions of AI for healthcare without drawing boundaries between research and engineering.
As a Senior ML Engineer, you’ll be involved in all engineering and research aspects that push the boundary of what is possible in AI for breast cancer screening. You’ll collaborate interdisciplinary, ensuring our AI genuinely improves patient outcomes in all environments.

Exemplary responsibilities:

  • Research, develop and ship AI models for detecting breast cancer, pushing beyond the published SOTA.
  • Merge medical insights with AI to tailor our models for global needs.
  • Validate AI efficacy across diverse datasets, ensuring robust performance.
  • Develop methods for automated monitoring of models in production.
  • Work with a talented team towards breakthroughs in healthcare AI.


  • Master or PhD in Computer Science/Physics/Maths or equivalent practical experience, with a focus on AI/ML.
  • Proven track record of applying ML successfully, ideally to medical images.
  • Profound knowledge of deep learning (especially CNNs and Transformers).
  • Experience with real world, large scale datasets.
  • Fluent engineering (Python, PyTorch/TensorFlow/Jax, GCP/AWS/Azure, software development best practices)
  • Passion for good scientific practice, blending clean formal thinking with engineering.


  • Work flexibly
    • In-office? From home? Somewhere in between? Whatever you prefer.
  • Team Culture
    • We host regular team nights and events to foster company culture and cohesion.
  • Connect at our AI Campus
    • Meet some truly exceptional humans at the AI campus — home to countless inspiring startups, events, and opportunities to broaden your horizons.
  • Competitive salary
    • We regularly benchmark salaries within the tech and healthcare industry.
  • Develop your career
    • Dedicate yourself to impactful projects and have regular, meaningful career development sessions with your manager.

We are a driven group of researchers and developers who believe in what we create and are committed to its success. In order to make a tangible difference in applied AI and healthcare more accessible globally, we strive for outstanding quality and visionary ideas. We encourage you to apply even if you do not believe you meet every single qualification. The strongest candidates are often humble and we value collaboration over competition. Come work with us!


We are an equal-opportunity employer that values diversity. We consider all applications equally, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups that are traditionally underrepresented in tech to apply. 
Additionally, we provide immigration assistance for those who need it.

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