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- Aufgaben: Support R&D and implement production-ready AI models for medical imaging.
- Arbeitgeber: Join a Munich-based startup revolutionizing medical AI with cutting-edge technology.
- Mitarbeitervorteile: Enjoy a supportive environment, personal development investment, and a diverse team culture.
- Warum dieser Job: Work on impactful tech that improves patient safety in healthcare while growing your skills.
- Gewünschte Qualifikationen: Must be enrolled in Computer Science or similar, with Python coding skills and ML experience.
- Andere Informationen: Full-time internship for 6 months; start ASAP.
We are an early stage tech startup from Munich on a mission to make medical AI safe for every patient. Backed by leading HealthTech Investors (e.g. Nina Capital) we are working on the frontier of generative AI (e.g. Guided Diffusion), building a platform to generate diverse sets of synthetic medical images like CT, MRI, or XRay.
Aufgaben
- You will support the whole process from R&D to implementing production-ready models
- Help with research on the latest generative AI models (e.g. Guided Diffusion, …)
- Test and benchmark different machine learning methods
- Implement the best methods in a robust way and bring it into production with your team
- Implement MLOps and DevOps pipelines for internal experimentation and production
- Support the preprocessing of medical image data
Qualifikation
- You are currently enrolled in Computer Science or similar studies (preferably Master’s)
- You can commit 6 months for a full-time internship
- You have (work) experience in ML concepts like deep neural nets or alike
- You have strong coding skills in Python (esp. PyTorch, TensorFlow, and Pandas)
- First project experience with medical imaging data or synthetic image generation is a plus
- You are eager to learn more about modern ML approaches
- You feel comfortable in the dynamic environment of a tech startup
- You are a self-starter with the ability to work independently
- You can communicate effectively in English (German is a plus)
Benefits
At RYVER we aim to create an environment where everyone can strive to be their best self – professionally and personally.
We are a diverse team and strive to become even more diverse . We truly believe that this is the key to building great things . Please don’t hesitate to tell us your story.
- Work on exciting new tech that changes the world for the better
- Investment in your development as an AI Engineer/Data Scientist and as a person
- Experience a fast-paced startup in its earliest stages
Start: ASAP
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Student AI Engineer Arbeitgeber: RYVER.AI
Kontaktperson:
RYVER.AI HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Student AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in generative AI, especially Guided Diffusion. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with online communities or forums focused on medical imaging and machine learning. Networking with professionals in these areas can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Consider working on personal projects that involve synthetic image generation or medical imaging data. Having hands-on experience will make you stand out as a candidate who is proactive and passionate about the subject.
✨Tip Number 4
Prepare to discuss your coding skills in Python, particularly with frameworks like PyTorch and TensorFlow. Be ready to share examples of your work or projects that demonstrate your proficiency and problem-solving abilities.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Student AI Engineer
Tipps für deine Bewerbung 🫡
Understand the Company Mission: Before applying, take some time to understand the mission of the startup. Familiarize yourself with their focus on making medical AI safe and how they utilize generative AI technologies. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: In your CV and cover letter, emphasize any experience you have with machine learning concepts, especially deep neural networks, and any projects related to medical imaging or synthetic image generation. Be specific about your contributions and the technologies you used.
Show Your Passion for Learning: Express your eagerness to learn more about modern ML approaches in your application. Mention any relevant courses, workshops, or self-study initiatives that demonstrate your commitment to growing in this field.
Tailor Your Application: Make sure to customize your cover letter for this specific role. Address how your skills in Python, particularly with PyTorch and TensorFlow, make you a strong candidate. Also, mention your ability to thrive in a dynamic startup environment.
Wie du dich auf ein Vorstellungsgespräch bei RYVER.AI vorbereitest
✨Show Your Passion for AI
Make sure to express your enthusiasm for generative AI and medical imaging. Share any personal projects or research you've done in these areas to demonstrate your commitment and interest.
✨Highlight Relevant Experience
Discuss your experience with machine learning concepts, especially deep neural networks. If you have worked with medical imaging data or synthetic image generation, be sure to mention specific projects and the impact they had.
✨Demonstrate Coding Skills
Prepare to showcase your coding abilities in Python, particularly with libraries like PyTorch, TensorFlow, and Pandas. You might be asked to solve a coding problem or discuss your approach to implementing models.
✨Emphasize Adaptability and Independence
Since this is a startup environment, highlight your ability to work independently and adapt to changing situations. Share examples of how you've successfully navigated challenges in previous roles or projects.
