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.
- 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.
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