Senior Machine Learner

Department: Machine Learning

Location: Hamburg

Employment Type: FullTime

Company Overview

Mindpeak is a Hamburg-based AI company developing state-of-the-art deep learning forcomputational pathology, with a clear mission: enabling more effective, personalized cancer treatment.

We work at the intersection of AI, medicine, and drug development, building regulatory-grade solutions that help pharma, biotech, and clinical partners discover, validate, and translate meaningful biomarkers into real-world impact.

Our technology analyzes H&E, IHC, and multiplex tissue data to support drug development, patient stratification, and clinical trials. What makes this work especially rewarding: Our AI is already deployed in routine diagnostics in more than 25 countries, meaning the tools we build are used by clinicians and patients every day.

At Mindpeak, we believe that reliable, clinically applicable AIimproves cancer treatment. If you want to work on challenging problems, collaborate across disciplines, and see your work make a real difference in patient care, you’ll feel at home here.

Position Summary

As a Senior Machine Learner, 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 both novel drug development and clinical routine. There are big challenges in the field of digital pathology like demanding accuracy requirements and the large variability of human cells. With your expertise and the possibilities of deep learning and artificial intelligence, you will work on solutions which will take the current healthcare to the next level and help generate a true impact beyond the status quo.

Your Responsibilities

• Build the world’s best image analysis models in digital pathology using PyTorch.

• Create and test prototypes of deep learning methods.

• Develop these prototypes into deployed AI software models for our live environment.

• Manage, preprocess, and analyze large image datasets for machine learning, and improve our data annotation pipelines for efficiency and quality.

• Take the lead in challenging AI projects and inspire other MLers with your ideas and execution.

• Collaborate closely with our tech team to build reliable and efficient AI software production systems.

• Partner with our medical team to specify data needs for AI development and validation.

• Work together with our product managers and pathology experts to develop new customer centric AI product concepts and identify AI requirements.
  

Your profile

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

• Expert theoretical knowledge in machine learning.

• Multi-year practical experience in deep learning for computer vision with PyTorch.

• Technical skills to productionize and deploy neural network models for live environments.

• Experience in using agentic AI tools for prototyping and software engineering

• Enjoying interdisciplinary teamwork, thinking outside the box and communication with our partners.

• Keen to understand how AI products can make a significant difference in users’ daily lives.

• Independent structured working style and willingness to take responsibility.

• Great analytical skills and the urge to constantly learn, mentor, and share knowledge along the way.

• Deep knowledge of servers and IT infrastructure is a plus.

• Interest in leading people is a plus.

• Fluent in English, additional German is a plus.

What Mindpeak Offers

• The opportunity to build AI systems that power both clinical cancer diagnostics and data-driven drug development.

• An open, creative work environment with flat hierarchies and quick decision-making.

• Diverse, engaging projects that help you deepen both your technical and domain expertise.

• A centrally located Hamburg office with a beautiful view over the harbor.

Application Details

Please send us:

• CV

• University certificates and transcripts of records

• Job references

• Salary expectations

• Earliest possible starting date

Contact:

• Email: [email protected]

Please note: Direct applicants only. We do not work with recruiting agencies for this position.