Machine learning engineer Jobs in Harburg

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 mission

As a Lead 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 ensuring engineering excellence in the machine learning repos, creating visualization tools, making inference and training scripts as fast as possible and enabling efficient GPU training across different servers. Thereby, you will lead other ML engineers and take over responsibility for large engineering projects, high-quality solutions and deadlines.

Your Tasks

Own large ML engineering projects

Lead and coach other ML engineers : provide guidance in their personal development and help them excel in their projects

Take responsibility for high-quality solutions and deadlines

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

Align with other ML team leads, different teams and overall company management

Implement efficient AI production systems in cooperation with our software developers

Make GPU training and inference scripts faster by profiling bottlenecks and improving them

Own and extend visualization tools used by machine learners

Extend, define and 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

Advanced skills in Python, bash, Git and linux tools

Desirably, multi-year leadership experience

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

Why us?

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?

Send your application (including curriculum vitae, university certificates, transcripts of records and job references) as Lead Machine Learning Engineer with your salary expectations and earliest possible starting date to [email protected].

Any questions?

Contact Vera von Elverfeldt with questions [email protected].

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

Applicants only. We staff without recruiting agencies.

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!