Career decisions & Spotify search results with Machine Learning

Please join us for a fantastic PyLadies London meetup in collaboration with Isometric!

Agenda:
6.30pm - Doors open, socialising, food and drinks offered by our sponsor
7.00pm - Talk 1: Navigating career path decisions - Ola Sitarska
7.30pm - Talk 2: How Spotify personalises your search results with Machine Learning - Justyna Kaluzka & Natalija Radic
8.00pm - Socialising
8.30pm - Finish

Talks
Title: Navigating career path decisions
Abstract: Making intentional decisions about where to take your career is hard -- and gets even harder once you reach the Senior Engineer level and are presented with a fork in the road ahead of you. In this talk I’m going to propose a few ideas to help you figure out what you want and how to get there.

Title: How Spotify personalises your search results with Machine Learning
Abstract: Spotify receives 100000s of requests per second for search results of music, podcasts and audiobooks. Using a mix of well-tuned Python Machine Learning models and scalable systems, we'll tell you how we ensure that you get a highly personalised and relevant set of recommendations.

Speakers:
Ola Sitarska is a Head of Engineering at Isometric. Previously Ola led infrastructure engineering teams at Shopify, served as VP of Engineering at Pollen, and led API/SDK teams as a Director of Engineering at Onfido. With a passion for furthering diversity in the technology field, Ola founded Django Girls, a global non-profit focused on technology education with events attended by 30.000 women worldwide. She is a Python Fellow and served on the board of directors for Django Software Foundation.

Justyna Kaluzka is an Engineering Manager at Spotify leading teams responsible for ranking and decorating the search results. Natalija Radic is a Backend Engineer at Spotify working on scalable infrastructure serving multiple retrieval systems.

Sponsor: This meetup is sponsored by Isometric.