Staff AI Engineer

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Applied MLE Background:

You have a proven track record of shipping Machine Learning functionality in a product-focused environment. You prefer "what works in practice" over "what works in theory."

Bleeding-Edge Awareness:

You are a "first adopter" of new AI technologies. You are intimately familiar with the trade-offs between frontier models and know how to swap or hybridize them for maximum impact.

Experimental & Analytical Mindset:

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Competitive compensation,

both in terms of base salary as well as equity plans that enable to you to share in our success

Flexibility

in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces

Generous paid time off schemes

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We are looking for a

Staff AI Engineer

who thrives at the intersection of

rapid experimentation

and