SeatGeek

Senior Machine Learning Engineer

SeatGeek

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $145,000 - $200,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSCloudElasticSearchGo.NETPostgresPythonPyTorchScikit-LearnTensorflow

About the role

  • Design, build, and deploy machine learning models and systems that operate reliably at scale in production
  • Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines
  • Embed on a product engineering team and collaborate closely with data scientists, PMs, and Software Engineers to translate research and experimental models into production-ready systems
  • Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection
  • Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices
  • Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings

Requirements

  • Experience building and deploying machine learning systems in production environments (including scale and business impact)
  • 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps
  • Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar
  • Experience with cloud platforms and containerization technologies
  • Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring
  • Passion for software craftsmanship and product; hold yourself and your code to a high standard
  • A product mindset considering user experience, business impact, and system reliability
  • Commitment to your teammates; enjoy mentoring and learning from others