Machine Learning Engineer, Promaton
MLOps
More information about location
AI-driven automation in dentistry
Job no longer available
AI-driven automation in dentistry
21-100 employees
Job no longer available
More information about location
21-100 employees
Company mission
To eliminate errors in dentistry by improving diagnostic accuracy, and automating treatment planning workflows.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
- Improving speed and robustness of multiple machine learning products
- Continuous monitoring of incoming data in production
- The challenges you’ll face:
- 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
- Our teams are growing and so is our code base. This comes with the challenge to keep it well-designed and maintainable
- 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
- 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
Our take
Dental technology has advanced in leaps and bounds in recent years, but there is still room for innovation. With a global shortage of qualified dentists there has never been such a need to find efficiencies in the dental workflow. Promaton wants to automate this process using AI image analysis, speeding up dental care and allowing more patients to be treated.
Promaton builds on the advanced tech already used in dental clinics - like CBCT and digital scans - to power AI workflows that automate treatment planning across implantology, prosthetics, and orthodontics, through a key partnership with the Straumann Group that's helping scale its technology on a global scale.
While there is competitors in the AI-assisted dentistry space, Promaton's focus on implantology and orthodontics faces no major competitors. Its specialisation and strong industry partnership position it as a quiet leader in a fast-growing field.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Sep 2019
$0.1m
GRANT
Total funding: $0.1m
Company benefits
- Remote-first: Wok from anywhere in Europe
- Flexible holiday policy (min. 32 days): AS a remote team, we don't work according to the same (public) holiday calendar, you decide when you need your time of
- Team bonding events: Awesome yearly company retreat and quarterly team events
- Flexible working times: Organise your working hours according to your lifestyle
- Learning budget: Yearly budget of 1000 euros
- Vias sponsorship: For international engineers, who are already based in the Netherlands
Company HQ
Westlandgracht, Amsterdam, Netherlands
Leadership
Bas Verheij
(Co-Founder & CEO)Previously a Data Scientist at Accenture. Prior to that was the owner of vwdesign.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job