SeatGeek

SeatGeek

SeatGeek is a ticket search engine that enables users to find and purchase tickets for live sports, concert, and theater events. Founded in 2009, SeatGeek offers a Deal Score feature to help users find the best ticket deals, interactive seating charts ...

Media
251-1K
Founded 2009
$400M raised

Description

  • 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.
  • Collaborate closely with data scientists, product managers, and software engineers to turn research and experimental models into production-ready systems.
  • Solve technical challenges in 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 teams to evangelize ML capabilities and integrate them into SeatGeek’s core product offerings.

Requirements

  • 4+ years of experience in software engineering, with at least 2+ years focused on machine learning systems and MLOps.
  • Experience building and deploying machine learning systems in production environments.
  • Strong programming skills in Python.
  • Experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
  • Experience with cloud platforms and containerization technologies.
  • Understanding of both batch and real-time ML systems, including model serving, A/B testing, and performance monitoring.
  • Passion for software craftsmanship and product quality.
  • A product mindset focused on user experience, business impact, and system reliability.
  • Commitment to teamwork, mentoring, and learning from others.
  • Experience with the listed stack is not required, but familiarity with Python + FastAPI, Go, C#/.NET Core, Postgres, MemcachedRedis, Elasticsearch, AWS, Airflow, GitLab, Datadog, Cursor, GitHub Copilot, or Claude Code may be helpful.

Benefits

  • Equity stake and equity eligibility.
  • Discretionary annual bonus based on individual and company performance.
  • Flexible work environment with the option to work remotely 100% of the time or from the office as desired.
  • WFH stipend for home office setup.
  • Unlimited PTO.
  • Up to 16 weeks of fully paid family leave.
  • 401(k) matching and student loan matching program.
  • Health, vision, dental, and life insurance.
  • Up to $25,000 toward family building, reproductive health services, and gender-affirming care.
  • $500 per year for wellness expenses, plus Headspace, Headspace Care, and One Medical subscriptions.
  • $120 per month for tickets to live events and an annual music subscription to Spotify, Apple Music, or Amazon Music.
  • Salary range of $145,000 to $209,000 USD.

Interested in this position?

Apply directly on the company website

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