Even if you knew everything there was to know about Machine Learning today, the idea that tomorrow you will wake up and learn something new is what gets you out of bed every day and excited to work in this field.
Promaton is changing dental healthcare by automating diagnostics and treatment workflows using AI, making healthcare more affordable and accessible for everyone.
Do you want to drastically change that with AI, so patients and clinicians worldwide can benefit significantly? See our company page to learn more about what we do.
As an experienced ML Researcher, you will be working closely with our platform and product teams, enabling fast iterations and scalable ML solutions.
You understand that these projects take time and you’re in it for the long run, testing, tweaking, training, critiquing until your models are as close to perfect as you can get them, and only then do you know it's a slim chance if it will make it to production, as 80% of models never make it to the outside world!
But that doesn’t put you off as you’d be joining a team who recently got their first model into production in an industry that’s heavily regulated too!
This wouldn't have been possible without the work of a small, international, inspired, and talented team that works remotely across Europe, from the Netherlands to Greece, Spain to France, and Germany to Poland. There’s a total of 20+ of us all, for now, mostly holding as a minimum MSc in a variety of computer science and AI-related subjects. Most of our colleagues have advanced degrees and cumulatively have 35+ post-graduate study years - so a lot of brain power in the team.
Promaton is on a mission to provide fast, more accessible and higher quality dental healthcare to patients all across the globe. We are a startup growing rapidly and have a very strong ‘people first’ culture. We are passionate about technical innovation in healthcare, we value autonomy, and implement best practices from top tech product companies.
To apply for this job, we have a couple of hard requirements:
Extensive experience with the use of ML for 3D shape and geometry analysis, such as graphics, AR/VR and shape generation.
Extensive experience in designing, improving, and validating deep learning models including their application in 2D/3D image processing
Previous commercial experience including deploying machine learning systems in production, not just prototypes.
Strong experience working with Python, AWS, and PyTorch/ Tensorflow
Have experience with software development workflows: Git, GitHub, TDD, and automated CI/CD.
Passionate about software engineering principles, best practices, and contributing clean & maintainable code.
Proactive personality with a tendency to move things forward.
Based on a time zone between UTC-1 and UTC+3 (+/-2 hours Amsterdam time)
You are a fan of Kornia, maybe have attended a Siggraph conference over the years too, or are even a member (past or present) of an established lab such as VGG out of the University of Oxford, MPIs in Germany, or top-tier vision+graphics labs In the US (UCSD /CMU) then we’d love to talk to you!
Non-deep learning AI experience: ML, reinforcement learning, constraint satisfaction problems, etc.
Experience with Kubeflow, Tensorflow serving, Torch serve
Experience in a regulated environment (complying with ISO norms) or medical domain
Our tech stack: Python | Pytorch | Tensorflow | Jupyter | Open3D | VTK | AWS | Git | GitHub | Kubeflow | Docker
If you’re curious and a constant learner, always wondering what’s next and where we can take this technology, let’s talk!