Hey there, future LLM intern!

We're excited to welcome someone with a specific interest in large language models (LLM) into our team. Working elbow-to-elbow with our engineering team, you'll get to dig into cutting-edge LLMs and implement and assess prototypes for our unique business domain - medical device certification software.

This internship offers an incredible chance to gain experience and work with our talented founding team. And hey, it could also lead to a paid position based on your and the company's performance.

Here's what a typical day might look like:

• Diving deep into the world of large language models, drawing up a list of potential leads.

• Sifting through this list to find the models that could be the answer to our challenges.

• Bringing these models to life in the form of prototypes and demos.

• Measuring how these prototypes perform with data and presenting your findings.

• Collaborating with our vibrant team, participating in discussions, and keeping us in the loop with your progress.

  
  

We're hoping you'll bring the following to the table:

• A passion for learning any subfield of artificial intelligence (concrete examples are a big plus!).

• A degree (or currently pursuing one) in computing, engineering, mathematics, or physics.

• Impressive mathematical, algorithmic, and programming skills (you'll be writing code).

• Ability or willingness to learn AI tools that can make your work more efficient.

• Stellar English communication skills (no other languages required).

  
  

Curious about our hiring process?

We'll start with a single interview.

• Portfolio: projects walkthrough focused on the context, method, results, and conclusions.

• Reflection: highlights your contributions to selected projects from the portfolio, what went well, what didn't, what you learned, and how you could have done some things differently.

• Exercises: mathematics and computer science questions where you can use your preferred tools, frameworks, environments, etc. We advise you to ask clarifying questions and discuss the proposed approach before diving into the solution.

If all goes well, we'll discuss the next steps.

We want to be upfront about quality.

We take this position very seriously, and only the best will do. So, if your portfolio demonstrates your skills, dedication, and passion for LLMs, we can't wait to see it! Those serious portfolios (not necessarily the biggest ones) grab our attention.

Your effort and dedication in applying are genuinely appreciated. We read all applications. We aim to respond to successful applicants within a week (often much faster).