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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.
At StubHub, we’re not just selling tickets; we’re elevating the entire live event experience. Whether it’s a user’s first concert or their hundredth festival, StubHub is there from the discovery to the encore. Fans and promoters alike turn to us for the safest, most convenient ticketing service, and our engineers make it all happen.
Why We Need You
We’re looking for experienced AI Engineers to lead the development and implementation of AI-driven capabilities across our organization. This role is critical in introducing cutting-edge AI tooling, defining and scaling best practices, and building custom models that solve real business problems. You’ll partner closely with cross-functional teams to identify high-impact use cases, architect and deploy robust AI solutions, and help shape the company’s broader AI strategy. The ideal candidate blends deep technical expertise in machine learning, LLMs, and MLOps with the ability to think strategically, influence stakeholders, and deliver scalable, production-ready systems that create measurable value for the business.
Location: Hybrid (3 days in office/2 days remote) – Aliso Viejo, CA
What You'll Do

• Design and implement AI tooling and infrastructure to support company-wide AI adoption
• Develop custom machine learning models tailored to specific business use cases
• Establish AI/ML best practices, standards, and governance frameworks
• Collaborate with cross-functional teams to identify AI opportunities and requirements
• Lead the evaluation, selection, and integration of AI platforms and technologies
• Create documentation, training materials, and knowledge-sharing programs
• Monitor model performance and implement continuous improvement processes
• Stay current with emerging AI technologies and industry trends
  

What You've Done

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field
• 4+ years of hands-on experience in machine learning and AI development
• Strong analytical and problem-solving abilities
• Excellent communication skills for technical and non-technical audiences
• Ability to work independently and manage multiple projects simultaneously
• Experience with ML Ops tools and practices (ML flow, Kubeflow, DVC, etc.)
• Proficiency in containerization (Docker, Kubernetes) and microservices architecture
• Proficiency in Python and at least one other programming language (R, Java, Scala)
• Strong experience with ML frameworks (TensorFlow, PyTorch, or Scikit-learn)
• Knowledge of data engineering tools and practices (Apache Spark, Kafka, Airflow)
• Solid understanding of machine learning algorithms and statistical methods
• Experience with cloud platforms (AWS, GCP, or Azure) and their ML services
• Knowledge of data preprocessing, feature engineering, and model evaluation
• Familiarity with version control systems (Git) and CI/CD pipelines
  

It Would Be Nice If You Have

• Master's or PhD in Machine Learning, AI, Data Science, or related field
• Understanding of data privacy and security considerations in AI systems
• Experience contributing to AI transformation initiatives or digital transformation projects
• Knowledge of deep learning architectures and neural network optimization
• Strong analytical and problem-solving abilities
• Excellent communication skills for technical and non-technical audiences
• Ability to work independently and manage multiple projects simultaneously
  

What We Offer

• 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.
• Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated.
  

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
$200,000—$250,000 USD
About Us
StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action.
For California Residents: California Job Applicant Privacy Notice found here
We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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