AI Scientist / Senior AI Scientist at Order.co
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Jul 22, 2026
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Jul 23, 2026
What this job asks for AI summary
An applied AI role embedded within a product engineering squad, focused on building and shipping machine learning and AI agent systems to production. Near-term work centers on predictive ordering models and agentic copilots for workflow management, with full ownership from problem framing through post-launch optimization. The position suits practitioners with a strong record of production ML delivery and measurable business impact, at either initiative or portfolio scale.
Senior level · 5+ years · New York-Newark-Jersey City, NY-NJ-PA · 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 240 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 70–370
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $103,548–$176,968).
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 (6)
The posting is a dual-level requisition covering both 'AI Scientist' (5–7+ years) and 'Senior AI Scientist' (8+ years); final title is determined during the interview process. The seniority fields reflect the lower bound (AI Scientist / Senior) since the minimum qualifying experience is 5 years and the role is framed as Senior-level at minimum.
The alt SOC (15-1252 Software Developers) is a genuine runner-up: the role emphasizes engineering-quality production delivery, model productionization, and agentic system architecture alongside the data science and ML modeling work.
The JD requires proficiency across 'at least two technical ecosystems/cloud stacks (for example AWS and GCP)' — AWS and GCP are named as examples, not the only acceptable options; Azure and other major clouds would satisfy this gate. Both are marked required because the gate is on multi-cloud breadth, not the specific named platforms.
The remote field is set to false because the posting describes an embedded squad model with day-to-day co-location alongside product/engineering; no explicit remote option is stated.
Preferred qualifications include experience with self-hosted/local AI solutions, retrieval systems, vector search, ranking/recommendation, and domain experience in e-commerce or B2B — all captured as preferred.
No compensation range is disclosed in the posting.
Read the full posting
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