Staff Machine Learning Engineer - Personalization and AI
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.
About the Opportunity
The Data Science & Machine Learning Engineering team, a part of the broader StubHub Data organization, is looking for an experienced, senior level machine learning practitioner in the space of recommendation and personalization systems in production and generative AI, to develop and execute the product personalization vision at StubHub.
Why StubHub?
StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data across impressions, clicks, and transactions painting a deep picture of customer behaviors. In addition, the product offers multiple surfaces for state-of-the-art recommendation algorithms to be applied from home page construction, component ordering, learn-to-rank search results, pricing recommendations, to name but a few.
What Will You Do?
Commoditization of LLMs and other generative models has changed what is viable to deploy at scale to build a product that can have ML driven personalization. In addition, StubHub’s data team is heavily invested in building a centralized MLE team that can build and deploy highly retentive innovations across the business. In this innovative space, this role is expected to design a long-term vision and execution strategy for ML&AI personalization on the product. We expect this role to mentor MLEs of all levels from Jr to Staff on technical implementations, helping shape their career path through influence, and resource and recruit for the team appropriately. The role will work closely with the ML Infrastructure team to define the architecture to execute their vision, work closely with business partners to communicate results, and align on product strategy.
You will be joining at a critical time for the Data Science & MLE practice and the company, while the value of this discipline has been established and there’s a high performing team in place, we are far from state-of-the-art in our implementation, understanding, and infrastructure. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise across two-tower models, transformers, attention, and diffusion, advocating for, and widening the reach of ML company-wide. Most excitingly, we wish to make StubHub an innovator in the space of fundamental algorithms and foster a strong resume of research. As a senior leader of this team, you will be in charge of shaping and materializing that vision
- Technical project scoping and planning
- Partner with cross-functional stakeholders across the business, executives, and data team
- Technical review and architecture oversight
- Research and application of state-of-the-art techniques
- Surface infrastructure needs and onboard solutions
What You've Done:
- 10+ years of relevant machine learning/data science in a fast-paced, high growth environment
- Strong programming and analytical ability with expertise in SQL, Python, Java/JAX/C++ (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
- Hands on experience of deploying recommendation systems in a consumer product
- Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
- Experience with microservices, ML inference services, model registry, versioning, and performance tracking
- Experience with GPU frameworks in a production setting
Nice to Haves:
- Worked at consumer tech company
- Experience with GenAI/LLM/Agentic workflows in a production setting
- Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
- Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.
- Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.
- Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
The anticipated gross base pay range is below for this role. 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 includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.
Salary Range
$300,000 - $350,000 USD
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