Exceptional track record in delivering production-grade engineering and ML solutions at different levels of the stack
Experience with A/B testing and model evaluations
Experience in distributed systems design and best practices
Proficiency with languages like Java, Python
Experience with continuous integration, test automation, and monitoring
Ability to work in a cross-functional team touching different parts of our core services
Experience with real-time data processing technologies
Proficiency with languages like Ruby
High-competitive top market salary
The opportunity to make a massive impact & influence outcomes for our business and customers alongside passionate coworkers
Autonomy. The ability to make, own, and carry out decisions
Flexible working hours (possibility to work from home or coffee shop on Tuesdays and Thursdays).
Uncounted paid vacations.
Full-coverage medical insurance, accounting support for your PE, free lunches on Wednesdays, English classes, etc.
Relocation assistance and cost coverage program for candidates from other countries and cities.
Architect, build, maintain, and improve our pricing and promotional algorithms and their underlying systems. We are in the process of building a new set of services and platforms for these.
Implement end-to-end solutions for batch and real-time algorithms.
Build tooling around monitoring, logging, automated testing, and A/B testing.
Collaborate with your peers and other teams to teach, learn and execute efficiently.
Contribute to improving our processes and engineering culture.
At thredUP, we’re revolutionizing the clothing industry. Our marketplace introduces some unique challenges to solve in order to deliver a delightful inventory set at great value for our customers.
You will work on a broad set of domains, from building out and iterating on our pricing algorithms and surrounding services, to optimizing channels for surfacing the best product deals to the right customers, to building out a next generation promotional system focused on incremental growth and churn reduction.
You will be working with a highly interdisciplinary team of software engineers, ML engineers, data scientists, analysts, and marketers. This role will require a mixture of software engineering, machine learning, customer insight, data science, and strong collaboration skills to be successful.