Senior Machine Learning Engineer (m/f/d)

TN Germany; Hamburg; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A Hamburg-based startup is seeking a Senior Machine Learning Engineer to enhance cancer diagnostics using AI. You will develop image analysis systems and machine learning models, ensuring engineering excellence and smooth workflows. Join a passionate team making a real impact in healthcare.

Leistungen

Competitive salary and benefits package

Flexible working environment

Opportunities for professional development

Qualifikationen

• Experience working in the field of machine learning, especially using PyTorch.
• Multi-year practical experience developing professional software.

Aufgaben

• Make GPU training scripts faster by profiling bottlenecks and fixing them.
• Improve speed + add features to visualization tools used by machine learners.
• Implement efficient AI production systems in cooperation with our software developers.

Kenntnisse

Python

Git

Linux

Bash

Machine Learning

PyTorch

Ausbildung

M.Sc / PhD in Computer Science

Mathematics

Physics

Jobbeschreibung

Social network you want to login/join with:

col-narrow-left

Client:

Mindpeak GmbH

Location:

Hamburg, Germany

Job Category:

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

3c9dfefae5c2

Job Views:

2

Posted:

13.05.2025

Expiry Date:

27.06.2025

col-wide

Job Description:

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.

Join Our Mission to Combat Cancer with Cutting-Edge AI

As a Senior 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 on for example. You will work on solutions to make the overall workflow for machine learners much smoother by making sure to have engineering excellence in the machine learning repos, making visualization tools, inference and training scripts as fast as possible and making sure that GPU training can happen across different servers.

Your mission

Make GPU training scripts faster by profiling bottlenecks and fixing them

Improve speed + add features to visualization tools used by machine learners

Understand all the technology which we use 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 make the annotation process more efficient

Make GPU training robust when training across several servers

You will be directly reporting to the CTO

Your profile

M.Sc / P.hD 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

The position is in Hamburg. We pay relocation partially.

Why us?

We offer:

Work with a passionate + 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

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.

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.

Join Our Mission to Combat Cancer with Cutting-Edge AI

As a Senior 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 on for example. You will work on solutions to make the overall workflow for machine learners much smoother by making sure to have engineering excellence in the machine learning repos, making visualization tools, inference and training scripts as fast as possible and making sure that GPU training can happen across different servers.

Your mission

Your tasks:

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

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

• Understand all the technology which we use 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 make the annotation process more efficient

• Make GPU training robust when training across several servers

• You will be directly reporting to the CTO

Your profile

• M.Sc / P.hD 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

• The position is in Hamburg. We pay relocation partially.

Why us?

We offer:

• Work with a passionate + 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

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.

Any questions?

Contact Christine Stamer with questions: [emailprotected] .

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

About us

We are making the difference in pathology

We’re a Hamburg, Germany-based start-up with the mission to democratise cancer diagnostics. We apply artificial intelligence to improve pathologists‘ ability to identify cancer quickly and accurately.

The opportunity to take cancer diagnostics to a new level

We solve one of the most pressing challenges in modern healthcare: Demands for pathological image analysis are increasing rapidly, but the number of cancer experts remains stagnant.
We build support tools for visual diagnosis using state-of-the-art deep learning. Mindpeaks AI-tools help cancer experts deliver reliable and reproducible diagnoses and focus on areas where human expertise is indispensable.

Close cooperation in an international team

Optimizing cancer diagnostics with machine learning is challenging and requires the brightest minds. At Mindpeak, you will work closely with a team of industry experts in deep learning, pathology and entrepreneurship.
We need you to make a difference in the world and shape the future of cancer diagnostics!