(Senior) Research Scientist for Applied Machine
vor 4 Wochen
**Your mission**:
We seek a talented Research Scientist or Machine Learning Engineer to join our growing team and help develop clinical products using state-of-the-art machine learning techniques for medical imaging.
Additionally, you will have the chance to engage with the academic community by publishing papers, attending conferences, and mentoring and supervising students.
Depending on your experience, you will participate in or oversee projects in partnership with our customers, including startups and leading players in medical imaging, as well as clinical and academic clients.
**Your profile**:
- Strong programming skills in Python and deep learning frameworks (Pytorch, Tensorflow, etc.)
- Significant experience in training neural networks on image data, preferably medical images
- Experience in (or willingness to learn) C++
- PhD/MSc in relevant field, or industry experience in a relevant domain
- Able to conduct applied research independently
- Reliable team player and quick learner
- Proficient in English
**Bonus skills (optional)**:
- Experience in the medical imaging industry
- Experience in MLOps or DevOps (Docker, cloud development, etc.)
**Why us?**:
- Be a part of innovative projects with renowned customers around the world and see your work directly impact patients' lives
- Benefit from flexible working hours and a** **hybrid work model, with the option to work full-time remotely from Germany and Italy
- Join us full-time or part-time (20-40h/week) and enjoy the agility of a start-up with the safety of an established company
- Earn a competitive salary based on your experience
- Be part of an international, dynamic, and highly skilled team where you can make an impact and continue to learn
- We value equal opportunities and are proud of our family-friendly company culture
**About us**:
ImFusion is a growing company located in Munich, conducting research, development and consulting in advanced medical image computing technologies and computer vision. Our customers include small and large medical device companies as well as academic research labs. We wish to expand our team with talented and motivated people.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
You think you can be a good fit? We'd love to hear from you
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