Junior Machine Learning Engineer

Job description

Did you know that your teeth are like your fingerprints: they’re uniquely yours? If you need a replacement tooth for one that you lost, it will also need to be uniquely designed to fit you. Promaton is changing dental healthcare by automating diagnostics and treatment workflows using AI, making healthcare more affordable and accessible for everyone. See our company page to learn more about what we do.

Your expertise will help build machine learning pipelines that create tooth designs with cutting edge technology. And when we say cutting edge, we mean it. We are implementing approaches published in the latest ML conferences, and are continuously striving to implement the latest best practices in ML engineering and infra.

The team you will join is currently working on automation of treatment planning for prosthetics and implantology. The challenges we have are both in analysing 3D medical scans, as well as generating 3D design structures for all those unique patients.

Tl;dr; We're looking for someone to help us build machine learning pipelines in the dental field. Since this is a junior position, we do not require many years of working experience but we do require knowledge of at least one programming language, a passion for software engineering and desire to grow in the machine learning and MLOps area.

You'll be:

  • Making our AI pipelines work smoothly by solving complex problems with your curiosity and technical creativity

  • Improving yourself (and others) every day as we have a feedback culture not just on coding but anything with frequent 1-1’s with accomplished engineers, researchers and product managers

The challenges you’ll face:

  1. All our products process large data points, ranging from 5 up to 700MB. This means that a lot of off-the-shelve tooling doesn't work for us, and we need to invent our own to process and manage our data. It still needs to be fast

  2. We are a cloud-native company, and cloud-native ML frameworks are still in their early days. You'll help us navigate the ever evolving ecosystem of tools, to make sure we find the right balance between off-the-shelf and home-grown tooling. For example we are moving our machine learning pipelines into Argo Workflows

  3. Medical AI has to comply with the highest quality standards. While in other industries failing to predict for example a recommended product has little consequence, in the medical field you really don't want to be wrong. Safety-critical AI is a hard topic.

The perks of working at Promaton:

  • πŸ’° Attractive salary package

  • 🏑 Freedom to work from home or anywhere you like (and any time you like). We only have a few touch points. We also have an office in the center of Amsterdam in a building with many other tech start-ups where you can work.

  • πŸ‘©β€πŸ”¬ Dedicated time for hackathons and research, to explore new ideas of your own. We have a quarterly "hack for a week on anything you like"

  • πŸ™Œ Monthly paper review sessions, where we discuss the latest developments in the field to stay up to date with the current state-of-the-art

  • πŸŽ“ Real training budget for books and conferences or anything else you need to grow

  • πŸš€ Work with the latest technology, on the forefront of a rapidly developing field in medical imaging AI

  • πŸ’ͺ Loads of responsibility and autonomy (we hate micro management) and a chance to make a real impact

  • πŸ– Awesome yearly company retreat, and quarterly team events

  • ⛺️ 25 days of annual leave

  • πŸ’» Top-notch gear, and even bigger servers to play with

  • πŸ„β€β™‚οΈ 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

  • πŸ›¬ For all international engineers: Promaton is recognized as a visa sponsor by the Dutch government



Job requirements

  • 1+ years of experience working with a programming language (eg. Python, C++, Java)

  • Bachelor/ Master level degree in Computer Science or an equivalent degree with a strong mathematical foundation

Bonus points:

  • Knowledge of machine learning

  • Experience with application / microservice development

  • Experience with AWS or Kubernetes deployment

  • Previous experience in medical or other regulated field

  • You are enthusiastic (Active in student association /community /sports /music etc.)

Sounds like you? Let's talk!