Love live music? Want to be part of one of the few tech startups currently making a real impact on the music industry?

At Lyte, we help fans get into their favorite events, with a ticketing experience that doesn’t suck - no scalpers or fake tickets.

Want to watch the software you build immediately get put to use at the highest levels of the music industry? If there is popular music event or festival that is sold out, we are most probably close partners, think the biggest names in the industry! To name a few, Coachella, Burning Man, Electric Forest, Newport Folk Festival, AfroPunk, and BottleRock. Don’t see your favorite event or artist here yet? Help make it a reality.

Want to join a team of hard working, fun loving people who are still a little weird and know how to both ship rock solid code and not take life too seriously? The Lyte engineering team is scrappy crew of technology professionals who have experience across the early stage startup realm.

In addition to being technically savvy, we love music and events and when we are not pushing code, we are actively trying to have fun in life. Some of our team members are in bands, and some just like to play flute by themselves out in the mountains.

Qualities that we are looking for in our team:

  • Passionate about building predictive models and analyzing complex datasets
  • Ability to collaborate closely with back-end and product teams to deliver a holistic experience that's optimized around providing the best user experience possible.
  • Able to find simple solutions to complex problems, excel at solving real issues for real people and want to push the boundaries of their engineering abilities.

What you will have ownership for delivering:

  • Help drive the design and architecture of algorithmic services to improve prediction capabilities
  • Using NLP (Natural language processing) to process and match messy datasets
  • Researching, building and developing statistical machine learning models and recommendation systems.
  • Collaborating with product management and engineering department to understand company needs and devise possible solutions.
  • Provide leadership to more junior software engineers and data scientists

Skills needed to be successful:

  • Experience working with Python/Pandas in a production environment.
  • Experience working with SQL and NoSQL data stores such as PostgreSQL & Redis
  • Experience working with AWS services include RDS, S3, and EC2
  • Experience working in Agile teams.
  • Very strong technical and analytical skillset (R, Python, SQL, Tableau, Predictive Analytics, Forecasting, Data Mining, Machine Learning, Text Analytics, Algorithm Designs, Bayesian Methods etc.)