gem-hunter

Please watch this explainer video.

Argmax is hiring Junior Data scientists. This repo is meant to be a the first step in the process and it will set the stage for the interview.

The data is taken from a real-life scenario, and it reflects the type of work you will do at Argmax.

We are a botique service company that specializes in recommendation systems and personalized-search.

Building a recommender system requires understanding various aspects of the user behaviour and the item properties. We utilize a variety of tools to do so, such as large-language models and vector databases.

An ideal candidate would be someone who is proficient in python, curious and able to do independent research when necessary.

This Github repo is designed to reflect some of the challenges you will encounter while working for Argmax.

Our offices located in Ramat-Gan, 42 Ben Gurion Rd. and we work Thursdays from there, the rest of the week we work from home or from clients' premises.

1. Uri's talk on structured output with large language models
2. Benjamin Kempinski on offline metrics
3. Daniel Hen & Uri Goren on pricing with contextual bandits
4. Eitan Zimmerman's talk on visual feed reranking

1. Set up Docker on your local machine
2. In a terimal, type docker compose up
3. Browse to JupyterLab
4. Follow the instructions on the sql.ipynb notebook

1. Please clone this repo to a private repo on your github account.
2. Implement the missing parts.
3. Please fill in this form.
4. An interview with Uri would be scheduled for you.

1. An online hands-on interview would be scheduled during April 2024.
2. Be prepared to answer questions on your submission
3. This repo contains a lot of code, in the follow up interview you will be asked to extend a part of it

1. After passing the online interview, you will be invited to the Argmax offices
2. The goal of the interview is non-technical, to get to know you and your aspirations
3. If everything goes well, you will get a contract circa end of April / Beginning of May.