Lead Machine Learning Engineer (m/f/d)

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.

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.

• 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

• 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

• 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

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]. 

Contact Vera von Elverfeldt with questions [email protected].

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

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