Machine Learning Engineer (m/f/d)

Welcome to Mindpeak!

We are a Hamburg-based startup democratizing cancer diagnostics with AI. Our cutting-edge technology enhances pathologists' ability to quickly and accurately identify cancer and is the first AI solution used in clinical histopathology in the U.S.

Your profile

• M.Sc / PhD in Computer Science, Mathematics, Physics or similar with excellent grades

• Experience working in the field of machine learning, especially using PyTorch

• Multi-year practical experience developing professional software

• Advanced skills in Python, bash, Git, and Linux tools

• Ability to work in a fast-changing, highly dynamic work environment with changing priorities

• Curiosity to understand the medical application

• Enjoying interdisciplinary teamwork and thinking outside the box

• Independent structured working style and willingness to take responsibility

• Good analytical skills and the motivation to constantly learn and share knowledge

• Fluent in English; additional German is a plus

• Preferably located in Hamburg. We partially cover relocation costs.

Why us?

We offer:

• Work with a passionate and innovative team on products that make a real impact in healthcare

• A competitive salary and benefits package

• A flexible working environment, including options for remote work

• Opportunities for professional development and career growth

Any questions?

Contact Christine Stamer with questions: christine.stamer@mindpeak.ai.

Find more information about Mindpeak at www.mindpeak.ai. Join our network on XING or LinkedIn!

We're Looking For Someone Who:

What You Will Gain:

Join Our Mission to Combat Cancer with Cutting-Edge AI

As a Machine Learning Engineer, you will be part of an interdisciplinary team and become a key driver in building highly accurate image analysis systems and machine learning models for the pathologists’ clinical routine. There are big challenges in the field of digital pathology: huge images spanning 100k x 100k pixels where millions of cells and polygons need to be visualized. You will work on solutions to make the overall workflow for machine learners much smoother by ensuring engineering excellence in the machine learning repositories, optimizing visualization tools, inference, and training scripts, and facilitating efficient GPU training across different servers.

Ready to Make a Difference?

Please upload your application documents (including curriculum vitae, university certificates, transcripts of records, and job references) with your salary expectations and earliest possible starting date.

Your mission

Your tasks:

• Make GPU training scripts faster by profiling bottlenecks and fixing them

• Improve speed and add features to visualization tools used by machine learners

• Understand all the technology used for serving ML models live and re-use them for internal tools in the machine learning team

• Implement efficient AI production systems in cooperation with our software developers

• Use our internal APIs to gather and transform data and optimally prepare it for ML training

• Support our medical team with tooling to efficiently guide the evaluation of annotators and enhance the annotation process

• Ensure robustness of GPU training when training across several servers

• You will be directly reporting to the CTO