Senior Software Engineer in Machine Learning

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.

As an experienced Software Engineer in Machine Learning you will be working closely with our platform and product teams, enabling fast iterations and scalable ML solutions.  

What you will be working on: 

  • Making our AI pipelines work smoothly by solving complex problems 

  • Taking a leading role in executing company-wide initiatives on our MLOps roadmap

  • Proactively helping with setting the right prioritization to ensure work is aligned with the business needs, while keeping tech debt in mind.

  • Coaching other team members and sharing knowledge to help the team improve alongside you

  • Working with an accomplished team of machine learning researchers and engineers that already have 8 patents on their name.

Some initiatives on our MLOps roadmap for the next months:

1. Deployment architecture improvements to reduce cost and latency

2. Continuous monitoring of incoming data in production

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. 

  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. 

  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. 

The perks of working at Promaton:

  • 💰 Attractive salary package

  • 🏡 Freedom to work from home or anywhere you like (and any time you like). We only have a few touch points

  • 👩‍🔬 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"

  • 🙌 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

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

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

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

  • 🏖 Awesome yearly company retreat, and quarterly team events

  • ⛺️ 25 days of annual leave

  • 💻 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 all international engineers: Promaton is recognized as a visa sponsor by the Dutch government

Job requirements

  • 5+ years experience working with Python

  • Solid experience in building scalable solutions to bring AI Models to production, preferably in computer vision.

  • Experience with iterations on running products, experiment management and data versioning

  • Bachelor/ Master level degree in Computer Science or an equivalent degree 

  • Experience in designing complex pipelines, applying SWE design principles

  • Experience with AWS/GCP/Azure or Kubernetes deployment

  • Good collaboration and communication skills

Bonus points:

  • Experience working asynchronously with a distributed team

  • Experience with machine learning model architectures

  • Proven Experience with application / microservice development

  • Previous experience in medical or other regulated field

Sounds like you? Let's talk!