Applied AI Researcher Interview Experience
Interview process
This was unique because I had a call with another AI Engineer first which asked about my experience, background, and going over one specific project and follow-up questions about that. This was before the recruiter call which acted more as a logistics round. Then the first technical round is something between systems design and prompt engineering where you're expected to explain how to make a system work by chaining LLM tool calls together, so be prepared to dive into the details and explain each step of the process. The interviewer was very detailed and asked about where to store the data as well for follow-ups, so they definitely want to make sure you cover all the grounds. What didn't go as well was that I wasn't fully prepared for the level of technical detail the interviewer was looking to hear. I approached some of the questions at a higher level, when they were looking for more concrete implementation details, like which databases or technologies I would use (like PostgreSQL or SQL).
- Recruiter screen
- Technical interview
Interview rounds
4 questions across 2 roundsRecruiter screen
2 questionsQuestion types asked
Specific questions asked
Please do a deep dive into one project you want to share.
Technical interview
2 questionsQuestion types asked
Specific questions asked
How would you evaluate this when the defense fails?
Interview tips
Brush up on prompt and context engineering, practice making model calls in a Jupyter Notebook or Google Colab, and make sure you have a solid understanding of LLM evaluations so you’re prepared for follow-up questions.
Company culture
The team seemed very driven and genuinely excited about AI. Everyone I spoke with was exploring different areas of AI and clearly had deep expertise in their respective fields. The company culture also felt fast-paced and research-driven, especially with its dedicated research division and strong team of PhDs who are constantly exploring the latest developments in AI.
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