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😅 Who are Leap Labs?
We are an early-stage deep tech startup, using deep learning and state of the art interpretability research to accelerate scientific discovery from data. We have a fully automated pipeline, called the Discovery Engine, that takes you from raw tabular data to a report including all patterns present in your data.
🪞 This is for you, if:
- You have a PhD or equivalent hands-on experience in a technical field, with a track record of contributing to novel research.
- You have practical deep learning experience (preferably in PyTorch), including benchmarking, rapid prototyping, and experimenting with new ideas.
- You are excited to see the tangible outcome of your research.
- You write clean, efficient, and well-structured code that others can read and build on.
- You’re comfortable working with scientists, engineers, and external collaborators - translating ML outputs into meaningful insights for diverse audiences.
- Ideally you have experience in AI interpretability, explainability, or AI safety; AutoML; and/or AI in science.
- Track record of machine learning publications would be an excellent add on.
🧳 What you’ll bring
- A blend of high IQ and high EQ - You’re approachable and fun to problem-solve with!
- You take full responsibility for seeing things through - not just building something, but making sure it delivers.
- Every day is a school day is your mantra!