PGDL task

Submission deadline: March 30th, 2024

Who is this repo for ?

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.

About the position

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

Building a recommender system requires understanding many aspects of the user behaviour and item properties, and we utilize a variety of tools to do so (such as computer vision, natural language processing, large-language models, etc).

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

Our offices located in Ramat-Gan, Jabotinsky st. 155 and we work Thursdays from there, the rest of the week we work from home or from clients' premises.

Some videos from past projects

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

Setup

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

When you're done

Submission:

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.

Prepare for the Interview

1. Be prepared to answer questions on your submission
2. This repo contains a lot of code, in the follow up interview you will be asked to extend a part of it