The role involves designing AI tooling, developing machine learning models, establishing best practices, and collaborating with teams to innovate AI solutions.
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.
We are seeking a skilled AI Engineer to contribute to our company's AI initiatives. This role involves introducing cutting-edge AI tooling, establishing best practices, and developing custom models that will drive innovation across our organization. The ideal candidate will combine technical expertise with strategic thinking to implement scalable AI solutions that deliver measurable business impact.
Location: Hybrid (3 days in office/2 days remote) – Aliso Viejo, CA or Santa Monica, CA or Bay Area
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)
- 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
- Excellent communication skills for technical and non-technical audiences
- Knowledge of data engineering tools and practices (Apache Spark, Kafka, Airflow)
- Solid understanding of machine learning algorithms and statistical methods
It Would Be Nice If You Have:
- Master's or PhD in Machine Learning, AI, Data Science, or related field
- 5+ years of experience in AI/ML with at least 2 years in a senior or lead role
- Exposure to regulatory compliance requirements (GDPR, CCPA, industry-specific)
- Understanding of data privacy and security considerations in AI systems
- Experience in business process optimization and change management
- Experience contributing to AI transformation initiatives or digital transformation projects
- Background in consulting or working with multiple business stakeholders
- Knowledge of deep learning architectures and neural network optimization
- 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.
Top Skills
Airflow
Spark
AWS
Azure
Docker
GCP
Java
Kafka
Kubernetes
Python
PyTorch
R
Scala
TensorFlow
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