Senior Machine Learning Engineer Offline

About the Role:

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

Responsibilities:

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

Requirements:

Exceptional track record in delivering production grade engineering and ML solutions at different levels of the stack

Strong experience with A/B testing and model evaluations

Strong experience in distributed systems design and best practices

Proficiency with languages like Java, Python, Ruby

Strong 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

What We Offer:

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

Working within a modern tech stack

Flexible working hours (possibility to work from home on Tuesdays and Thursdays)

Uncounted paid vacations

Full-coverage medical insurance, free lunches on Wednesdays, English classes, etc.

Relocation assistance and cost coverage program for candidates from other countries and cities