Machine Learning Engineer (MLOps) in EUROPEAN ECONOMIC AREA

Just as every tooth is unique and requires precision in its care, our AI solutions demand precision in their design and implementation. At Promaton, we're revolutionizing dental healthcare with AI, and we need your expertise. See our company page to learn more about what we do.

As a Software Engineer in Machine Learning you will be working closely with our platform and product teams, enabling fast iterations and scalable ML solutions for existing and future products. You will extend our already successful track record of 5 ML products processing thousands of cases weekly for over 1K customers.

As part of our dynamic team, you will be:

• Improving and contributing to the design and architecture of a complex set of interdependent ML pipelines.
• Following MLOps best practices by maintaining and extending our CI/CD pipelines, dashboards, dev/test/prod environments, autoscaling, etc.
• Working with an accomplished team of machine learning researchers and engineers that already have 8 patents on their name.
• Helping researchers launch new products and help maintain the ones already used by customers.

Some initiatives on our MLOps roadmap for the next months:

1. Improving speed and robustness of multiple machine learning products

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-shelf tooling doesn't work for us, and we need to invent our own to process and manage our data.
2. Our teams are growing and so is our code base. This comes with the challenge to keep it well-designed and maintainable.
3. 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.
4. 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 don't want to be wrong.

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 (and any time 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 happenings 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.

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

🚀 Work with the latest technology, at the forefront of a rapidly developing field in medical imaging AI. Checkout our techstack here.

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

🏖 Awesome yearly company retreat, and quarterly team events

⛺️ 32 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 international engineers, based in the NL (already relocated to the Netherlands) we are able to offer visa sponsorship

🎈Inclusive environment, we value and celebrate diversity

Job requirements

• 4+ years experience working with Python and Pytorch
• Solid understanding of software development best practices
• A passion for software and ML pipeline design concepts
• The git ecosystem is your natural habitat
• Know how good tests improve developer velocity
• Experience with continuous deployment of live products
• Experience with AWS/GCP/Azure or Kubernetes deployment
• Good collaboration and communication skills

Bonus points:

• Experience with experiment, model and data tracking
• Knowledge of machine learning fundamentals
• Worked with 3D data, like meshes and point clouds
• Experience working asynchronously with a distributed team
• Previous experience in medical or other regulated field

We're excited to see how you can make a difference in our team. If you're passionate about making a tangible impact in healthcare through AI, we'd love to hear from you!