remote

Salary
$159,040–$233,800
Posted
Jul 19, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior individual-contributor role focused on building and operating production ML systems for a peer-to-peer fashion resale marketplace. The work centers on search ranking, recommendations, and feed ordering — owning the full lifecycle from training pipelines and inference infrastructure through monitoring, drift detection, and retraining. Suited to an engineer with deep experience in ranking or retrieval systems who is comfortable making architecture decisions on a small team where foundational choices are still being made.

Staff level · 7+ years · Remote · Full-time

Pay in the description: $159,040–$233,800

Must have (10)
PythonSQLdbtAirflow, Prefect, Dagster or LuigiML training pipelinesexperiment trackingmodel versioningdrift detectionranking systems, Retrieval Systems or Recommendation Systemscloud data warehouse
Nice to have (2)
NLPmulti-modal ML

“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 300 people nationally plausibly meet what this posting asks for (data scientists). range 60–650

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
dbt4%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%SQL72%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.

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 role sits at the boundary between 15-2051 (Data Scientists) and 15-1252 (Software Developers): the JD emphasises production ML systems, inference infrastructure, and pipeline engineering as heavily as modeling itself. 15-2051 was chosen because ML model ownership — training, evaluation, drift, retraining — is the stated primary responsibility; 15-1252 is the close runner-up given the strong software-engineering and infrastructure emphasis.

Airflow is listed in the requirements as 'Airflow or similar'; alternatives are populated with common pipeline-orchestration substitutes (Prefect, Dagster, Luigi).

Compensation is quoted as a tiered range ($159,100–$198,800 Tier 3 through $187,100–$233,800 Tier 1); the overall span ($159,040–$233,800) is reported as stated in the posting's summary hiring range.

NLP and multi-modal ML appear only under the 'Nice To Have' section.

No degree requirement is stated anywhere in the posting.

The caller has declared this fully remote; no metro is inferred despite the company's Los Angeles / New York associations.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML inference / model serving.

Caller marked this a fully-remote role — scored against the national candidate pool.

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