Senior Software Engineer - AI Fintech foundation at Hopper
New York, NY
$110,000–$300,000
Jun 28, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
This role sits within a team that owns a real-time pricing engine serving a portfolio of travel partners. The day-to-day work centres on building and maintaining ML training pipelines, ETL and feature engineering workflows, and production deployment of pricing models, along with ongoing monitoring for drift and latency. It suits an experienced ML engineer with a background in production systems, distributed data processing, and commercial domains such as pricing or demand forecasting.
Senior level · 5+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 8,900 people nationally plausibly meet what this posting asks for (software developers). range 2,600–16,000
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $135,980 (middle half $105,210–$171,980).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The title is 'Software Engineer' but the role is described interchangeably as 'ML Engineer' in the team intro; the day-to-day is primarily building and deploying production ML systems (training pipelines, real-time serving, drift monitoring), which sits between 15-1252 Software Developers and 15-2051 Data Scientists — 15-1252 was chosen because the emphasis is on engineering and shipping production systems rather than research or modelling.
The posting names Python, Scala, and SQL together in a single requirements bullet; all three are treated as hard gates since they appear in the primary qualifications block.
Distributed data processing frameworks are required but no specific framework (e.g. Spark, Flink) is named; well-known substitutes are listed as alternatives.
Champion-challenger testing appears in the day-to-day responsibilities section rather than the qualifications block, so it is treated as preferred context rather than a hard gate.
No compensation figures are provided beyond a reference to 'competitive salary' and pre-IPO equity.
The posting is tagged #LI-REMOTE and the caller confirms fully remote; no metro is inferred.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): real-time ML serving.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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