Machine Learning Engineer*in (m/f/d)
Machine Learning Engineer (m/f/d)
Festanstellung, Vollzeit · Hamburg
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
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
- Preferably 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: ch*******.******er@m*******k.ai.
Find more information about Mindpeak at www.mindpeak.ai. Join our network on XING or LinkedIn!
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