PitchMeAI Jobs
SeatGeek

Senior Machine Learning Engineer

SeatGeek · New York, New York

Posted about 3 months ago · $145,000 - $209,000

or apply directly on SeatGeek's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
SeatGeek's roles stay open a median of 56 days
Reposted
No
Salary listed
Yes
100% of SeatGeek's roles list one
Ghost-job risk at SeatGeek
high
20 stale, 0 reposted of 32 open
Hiring momentum
55 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from SeatGeek's own greenhouse board since 2026-08-03. Full hiring picture for SeatGeek.

About this role

As a Senior Machine Learning Engineer at SeatGeek, you will design, build, and deploy machine learning models and systems that operate at scale. Your role involves collaborating with product engineering teams to translate research models into production-ready systems, developing automated ML pipelines, and solving unique technical challenges in the ticketing industry. You will also maintain ML infrastructure and evangelize ML capabilities within the organization.

Our read on this posting4.0out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SeatGeek as an employer.

What you need

  • Experience building and deploying machine learning systems in production environments
  • 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

What you get

  • Equity stake
  • Discretionary annual bonus
  • Flexible work environment
  • A WFH stipend to support your home office setup
  • Unlimited PTO
  • Up to 16 weeks of fully-paid family leave

Worth weighing

  • Salary range is $145,000 - $209,000, but actual compensation is based on various factors
  • Stack includes both modern and legacy technologies, which may require adaptation
  • Role emphasizes collaboration across teams, which may require strong interpersonal skills

Summarised from SeatGeek's posting. Read the full original.

Listed by SeatGeek on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

More roles at SeatGeek

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