Machine Learning Engineer

Come work with us as a machine learning engineer

We are looking for an experienced Machine Learning Engineer to join us in building the machine learning backend that powers BrainMatter, the intelligent automation platform for visual asset inspection and monitoring. You will be an integral part of a small team responsible for delivering value to our end users through machine learning. As we are focused on visual asset inspection, we operate in the computer vision domain which means tasks like object detection, semantic segmentation, and anomaly detection are our bread and butter.

With access to massive proprietary datasets, a large dedicated GPU cluster, and advanced tooling to facilitate rapid experimentation, you will work on improving and scaling our ML pipelines with customer specific use cases in mind. Examples of tasks you will be faced with include building out a self-training pipeline for object detection in KubeFlow, optimizing the throughput of our real-time inference services for high resolution images, or investigating whether weakly supervised methods are applicable for customers operating in low data regimes. If any of this sounds interesting to you, read ahead!

Responsibilities

Deliver continuous improvements to our ML pipelines by identifying customer pain points and resolving them systematically
Rapidly prototype promising methods for our core tasks of interest and bring them to production when they demonstrate provable value
Improve the scalability of our ML pipelines/services
Work with the product team to identify new opportunities for ML powered features
Contribute to internal tooling for ETL, job scheduling, experiment management, etc. to improve the ML development workflow
Conduct code reviews and mentor junior ML engineers

Experience and skills

2-5 years of experience working as a machine learning engineer or backend engineer focused on ML systems
Track record of delivering value with ML in production
Bachelor’s degree or higher in ML/AI/CS or similar
Strong engineering skills in Python
Experience with Python ML frameworks (we use PyTorch but experience with Tensorflow is fine)
Familiarity with optimized ML runtimes such as TensorRT, Onnx
Strong product focus and passion for delivering value to end users

Nice-to-have

Open source contributor
Prior experience with KubeFlow/Kubernetes

Your attitude

You are a problem solver at heart
You are a strong team player, communicative, and open to others’ ideas
You strive to deliver fast results yet able to achieve excellence
You love contributing to and building great software products
Strong user focus and passion for doing the right thing for the users

What we can offer you

Competitive compensation
25 vacation days
An international team of bright and motivated colleagues
Never be bored by working in the most exciting technology field
Contribute to building a great company and product
Learn more than ever by solving real complex problems
The latest AI hardware and tooling
An informal working environment
Flexible office hours
An office in the heart of Amsterdam