Machine Learning Developer

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!