1 day ago
Full-time
Mid Level
#cancer#diagnostics#machinelearning
Machine Learning Engineer*in (m/f/d)baito Pro Job
Discover 33 Jobs like this
Create an account and we will automatically match you with the most relevant job opportunities.
This text was automatically summarized
Intro
Join Mindpeak as a Machine Learning Engineer and be part of a mission to democratize cancer diagnostics with AI, enhancing pathologists' ability to identify cancer accurately and quickly.
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
Requirements
- 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
Benefits
- 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
1 day ago
Mention baito
You like what we are doing? You can support us by mentioning that you found this job on baito.