Jobs / United States / Seatgeek INC
Senior Machine Learning Engineer
Seatgeek INC · 🇺🇸 Remote - United States · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Seatgeek INC paid sponsored hires in similar roles3 certified filings for “Software Engineer II” (Software Developers) in WA: $170k–$245k, median $170k. Most were filed at wage level I (33%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. The pay stated here ($25k) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Seatgeek INC
The US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Seatgeek INC →
About the role
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you. You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value. What you'll do • 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 What you have • Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven • 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. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard • A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick • Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. • Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core • Datastores: Postgres, MemcachedRedis, Elasticsearch • Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration • Version control: Gitlab • AI Tooling: Cursor, Github Copliot, Claude Code • Observability: Datadog Perks • Equity stake • Discretionary annual bonus • Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely • A WFH stipend to support your home office setup • Unlimited PTO • Up to 16 weeks of fully-paid family leave • 401(k) matching • Student loan matching program • Health, vision, den