Staff Software Engineer - Machine Learning

New York, NY /
StubHub – Software Engineering /
/ Hybrid
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.

While growing our business and product, StubHub has amassed a massive trove of data related to live events, ticket pricing, venue configurations (map / image understanding anyone?), and buyer & seller dynamics. We are seeking applied scientists to build out machine-learning powered systems and applications on our unique data assets that will directly power the growth of StubHub’s online ticketing marketplace. As an ML engineer, you will be responsible for optimizing ML models and pioneering new use cases for machine learning, predictive optimization, and automated decisioning across core parts of the StubHub experience including ranking/relevance of event listings, personalization, ticket pricing and more.

We are looking for someone who has:

    • 6+ years of industry experience in applied machine learning
    • End-to-end experience with applied machine learning from inception to production including data engineering, analysis, model development, deployment, and ongoing monitoring and maintenance
    • Strong programming skill (e.g. Python, Scala, C++, C#) and data engineering skills
    • Ability to leverage your data analysis skills to drive insight and understanding of the problem space and shape the right solution
    • Experience with multiple modeling approaches (logistic regression, deep learning, tree ensembles) and algorithms and best practices for model development
    • Ability to collaborate with cross functional teams to develop the right product experience and decisioning / optimization systems based on the capabilities of predictive modeling

It would be great to see someone who has:

    • An MS or PhD experience in computer science, statistics or a related quantitative field

As a Machine Learning Engineer at StubHub, you'll be tasked with:

    • Developing and deploying models that improve ranking / relevance of events, identify listings with the best value, improve return-on-spend for advertising and more
    • Driving the roadmap for driving machine learning at the company, pairing longer term strategic initiatives and speed to impact
    • Working closely with product partners to design the right solution for their problems
    • Building and sustaining a high-performance team via coaching, mentoring and providing technical and career guidance
    • Building and maintaining machine learning models that drive core parts of the StubHub experience
    • Developing the platform and tooling to increase speed of innovation and operational excellence in our machine learning practices
    • Nurturing a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team

What we offer:

    • An environment where you can quickly grow your skills and knowledge, and have the autonomy to make decisions regarding experiments and tests on a massive scale
    • A+ compensation package, including stock incentives
    • Unlimited PTO, 401k, and Health, Vision, and Dental Insurance
    • Free weekly lunches, a variety of office snacks, cold-brew and kombucha kegs, and team events
The anticipated gross annual base salary range for this role is $240,000 – $350,000 per year. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which also includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.

StubHub is on a mission to give the world the freedom to connect to powerful live experiences no matter where they are, whenever they want. Whether it's Harry Styles, the Yankees, Billie Eilish or Real Madrid, we're here to give fans the access to the live entertainment they love. That means we must power the destination for every type of live event fan to unlock the transformative live experience that’s right for them. We are their ticket to unforgettable memories – the crack of the bat, the first guitar chord or drum tap, the roar of the crowd at the championship winning goal, the joke that makes their belly ache from laughter. To do this, we must have the most premiere industry partnerships that deliver more seamless integrated solutions and aggregate the widest event catalogue, know our customers to design more personalized discovery of that very catalogue and get that fan into the event of their dreams so they keep coming back. Daily innovation is at the crux of how we do this and a passionate team that rigorously prioritizes the most results-oriented work they can deliver is what gets it done and keeps us leading the industry.