Lyst is a Global Fashion Search Platform which connects millions of shoppers globally with the world’s leading fashion designers and stores, giving them a simpler, more engaging buying experience.
We're looking for Software Engineers to take on challenges in the products that sit at the heart of Lyst.
Our team is split into small vertical functions that handle everything from data ingestion, to our website to our universal checkout systems. You could be leading the design of a new system to rapidly detect external fashion trends, to solving challenges of international payments at scale, all the while helping us build a user friendly and commercially successful customer experience for one of the largest high-end fashion sites in the world.
Here's a little data on us you might find interesting:
- 50+ engineers and data scientists with plans to double the team size in the next 6 months.
- 5M duplicated products detected and merged using product image features (http://www.slideshare.net/ejlbell/fashion-productdeduplication)
- 300k online recommendation model updates per day (http://developers.lyst.com/data/2014/11/11/word-embeddings-for-fashion/)
- 72k crowd-sourced labels generated per day
- 40k product gender classifications per day via deep learning
- 500k recommended products per day
- 120 EC2, 8 RDS, 7 ElastiCache and 10 Redshift instances
- our internal analytics system collects ~100M data points/day
...and a team that does:
- ~10 deployments/day
- 40+ merged pull requests/day
- 20k lines of change/week
- Lots of open source projects - https://github.com/lyst and https://github.com/SSAW
- Gets invited to talk at great events (PyCon, Europython, PyData etc)
- feature toggling and A/B testing
We're really interested to speak to people who have solved large scale architectural challenges, built out services within a microservices environment, worked on scalable systems and worked within Data driven environments.
Any experience within Data Science (NLP) and Data Engineering is highly valuable as the team will work very closely within those areas as well. Hence, we're ideally looking for a university degree in Computer Science or Mathematics.
We like to speak to commercially minded engineers who can understand business objectives and the need for building a great user experience.