Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Job offer - Machine Learning Engineer
Location: Munich, Germany
Field: AI Drug Discovery
Seniority Level: Mid to Senior
If you want your models to actually make a difference in the world — this is that opportunity!
🚀 About Khumbu
At Khumbu, we're not just building another AI tool – we're on a mission to cure diabetes.
Our fully in-house developed AI drug discovery pipeline is designed to tackle some of the world’s most urgent health challenges. To further advance this unique technology, we’re looking for a talented and motivated Machine Learning Engineer to join our AI drug discovery team in Munich.
In this role, you'll be at the forefront of developing novel deep learning models that have the potential to transform the landscape of diabetes treatment and other major diseases.
💼 What working with us looks like
We are a very early-stage company, and working with us means:
- Best ideas win. We’re not about hierarchy – we strive for the best technological solutions and encourage everyone to openly share their ideas and opinions.
- We depend on you. As a member of the core team, you will shape our technological direction in a lasting way. This also means we need your full commitment to help us push the boundaries of our technology.
- Minimal Overhead. You'll work in a small, dedicated team with short lines of communication and minimal meetings.
🧬 Qualifications
- Extensive experience in developing deep learning models
- Experience in drug discovery, biochemistry, molecular biology, or related life science fields
- Excellent analytical and creative problem-solving skills
- Proficient in Python and popular ML frameworks (e.g. PyTorch, TensorFlow)
🎁 What we offer
- The opportunity to work on cutting-edge AI technology with real-world impact
- The chance to shape the foundational technology of an early-stage startup
- A very attractive equity package
- Flexible work arrangements
📩 Application
Please apply via the linked Google form at the top ("Bewerben"-Button). We will begin reviewing applications after April 30th, 2025. To ensure full consideration, please submit your application by that date. We will reach out to you shortly after.
In the form, we’ll ask for a short motivation and links to any work you’d like to share (e.g. GitHub, Kaggle, publications, etc.).
We’re looking forward to hearing from you!
*******