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 jobs@mindpeak.ai.
Contact Vera von Elverfeldt with questions jobs@mindpeak.ai.
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Applicants only. We staff without recruiting agencies.