Technical Co-Founder (AI Efficiency) @ AI Venture, Berlin at atlantic.vc · Berlin, Berlin, Germany
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Machine Learning
A time you used Machine Learning: the problem, what you did yourself, and what happened.
From skills the ad mentions
Languages: English, German
Be ready to answer a question or two in that language, and say where you've used it at work.
From the job listing
You bring deep technical curiosity, scientific rigour and an entrepreneurial mindset. You enjoy getting into the details, testing hypotheses
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From the ad's requirements
meaningful experience optimising the cost or performance of LLMs or other AI systems, with concrete results to show for it. Experience in in
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From the ad's requirements
a solid understanding of modern AI models, rigorous experimentation and the ability to translate research into practical improvements.
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From the ad's requirements
you actively use coding agents, know how to orchestrate them effectively and are excited by what small, highly leveraged teams can achieve.
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From the ad's requirements
you're resourceful, ambitious and comfortable with uncertainty. You take initiative, move quickly and want to build something from the groun
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From the ad's requirements
you have the judgement to make difficult technical decisions and guide others. Previous CTO or engineering management experience is not requ
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From the ad's requirements
We're more interested in exceptional depth in AI efficiency and the ambition to build a company than a conventional CTO background.
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From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
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Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Machine Learning is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
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Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Why they ask: Looks for red flags and motivation.
How to answer: Stay positive: what you want next, not what you dislike.
Why they ask: Fit and ambition check.
How to answer: Tie your growth to the problems this team is solving.
Questions to ask them