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 gets you out of bed every day.
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 join us in our journey to improve patients' lives? See our company page to learn more about what we do.
As a Senior Machine Learning Researcher, you will be part of our orthodontics product team and collaborate closely with our platform and other web and ML product teams, enabling fast iterations, multimodality, and scalable ML solutions for existing and future products. Within this unique position, you have access to data from hundreds of thousands of treatments, including scans of tens of millions of teeth. This allows to model all subtle anatomical variations and treatment predictions. Together with the ML Engineers, Product Manager, and other ML Researchers in the team, you will own and extend our live AI products that support orthodontics treatments.
In Promaton, we already have a successful track record of multiple ML products processing hundreds of thousands of treatment plans yearly.
This wouldn't have been possible without the hard 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 are 50+ of us, for now, who are all passionate about AI and mission-driven.
Promaton is on a mission to provide fast, more accessible, and higher-quality dental healthcare to patients worldwide. We are a startup within a large medical company that is growing rapidly, and we have a very strong ‘people first’ culture. We are passionate about technical innovation in healthcare, value autonomy, and implement best practices from top tech product companies.
The perks of working at Promaton:
- 💰 Attractive salary package and excellent employment terms.
- 🏡 Excellent work/life balance. Freedom to work from home or anywhere you like. We only have a few touchpoints.
- 👩🔬 Dedicated time for hackathons and growth to explore new ideas of your own. Every quarter, we have a hackathon week where you can work on anything you like to expand your skill set!
- 🙌 Staying up-to-date with the latest in the ML field can be hard. That is why we organize monthly paper review sessions to discuss the latest developments in the field to stay up-to-date with the current state-of-the-art. Next to that, we regularly hold “ML Sparring Sessions,” where you can spar with other MLRs in the company on potential directions for projects you are working on.
- 🎓 We are dedicated to fostering personal and professional growth. Real training budget for books and conferences or anything else you need to grow and maximize your potential.
- 🚀 Work with the latest technology at the forefront of a rapidly developing field in medical imaging AI
- 🔧 We have a strong engineering culture: experiment management, auto-scaling of clusters, well-defined coding guidelines, and more.
- 💪 Loads of responsibility and autonomy (we stay far away from micromanagement) and a chance to make a real impact.
- 🏖 Awesome yearly company retreat and quarterly team events.
- ⛺️ 32 days of annual leave (25 days + 7 national holidays)
- 💻 Top-notch gear and even bigger servers to play with
- 🏄♂️ Promaton is funded for many years to come, meaning you can have the impact you only get at a startup but with the job security of an established company
- 🛬 For international engineers based in the NL (already relocated to the Netherlands), we can offer visa sponsorship
- 🎈Inclusive environment, we value and celebrate diversity
Job requirements:
- Expertise in dynamic multi-modal 3D modeling: demonstrated proficiency in utilizing machine learning for 3D alignment, segmentation, and prediction, for example, in applications such as augmented reality, gaze/face tracking, and 3D object generation.
- At least three years of work experience (apart from academic work) using ML for 3D geometry, including pose prediction, ML-based mesh, or point cloud processing.
- Deep Learning Model Design and Validation: Proven track record in designing, enhancing, and validating deep learning models, with a strong emphasis on deep learning applications in both 2D and 3D image processing.
- Product Experience: a history of product development experience, including successful deployment of machine learning systems in live production environments, not limited to prototype development - not limited to research/academic experience.
- Technical Skills: strong hands-on experience with Python and deep learning frameworks such as PyTorch or TensorFlow.
- Software Development Proficiency: Extensive familiarity with software development workflows, including Git, GitHub, Test-Driven Development (TDD), and Continuous Integration/Continuous Deployment (CI/CD).
- Passion for Software Engineering: A commitment to software engineering principles, best practices, and the ability to contribute to clean and maintainable code.
- Proactive Work Ethic: A proactive and self-driven approach to lead initiatives and help release ML solutions into production
Bonus points:
- PhD in Machine Learning or related field
- Worked with material simulations (forces, stiffness, elasticity, deformation) and/or planning of dynamic systems
- Non-rigid object alignment
- Hands-on experience with the newest generative models
- Experience with medical imaging (panoramic x-ray, CBCT)
- Previous experience in a regulated field, preferably medical AI
Our tech stack: Python | Pytorch | ClearML | Jupyter | AWS | Git | GitHub | Kubernetes | Docker
Let's talk if you’re curious and a constant learner, always wondering what’s next and where we can take this technology!
Good to know:
- It goes without saying that we love the power of AI, but we believe the human touch is irreplaceable in recruitment. We are looking forward to your personalized answers to our screening questions, not ChatGPT's insights!
- Wondering if you should apply if your experience doesn't fit all of the job requirements? In general, we are aiming for an 80% match, so please go ahead if you get excited by the role and by the idea of joining our team! Not the right role? You can still send us an open application!
- Read our blog about How to be successful in our selection process for more tips and tricks!
