FACTANKER · measured, cited, anchored official records connected

job posting · greenhouse

COUPANG, INC.: Sr. Staff, Machine Learning Engineer (Search & Discovery)

Observed on the employer’s careers system, last checked 2026-09-07.

POSTED: 2026-08-17Listed

Cite: FACTANKER, https://factanker.com/jobs/posting/e1147d19-b629-49bb-a3af-fd028abffb39

Employer
COUPANG, INC.
Location
Seoul, South Korea
Category
Search and Discovery
Posted
2026-08-17
Careers system
greenhouse
Observed
2026-09-07

Apply on the employer’s site ↗

Role description

Verbatim from the employer’s posting, rendered as plain text.

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see…

Provenance

Official posting
https://job-boards.greenhouse.io/coupang/jobs/8130040
Retrieved
2026-10-01 08:25:38.972402+02:00
ATS reference
8130040

Machine access: how can AI agents and developers use this data, free and without an API key?

Every figure shown here about Sr. Staff, Machine Learning Engineer (Search & Discovery) at COUPANG, INC. can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts, and since 27 September get_timeseries for a metric over time with its gap years made explicit and compare_entities for several entities on one shared period) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.

These figures are public records, not protected text. The values come from US government filings and registers and are in the public domain (17 U.S.C. §105) or CC0, stated per fact. Facts themselves carry no copyright. You may quote any number on this page verbatim, in full, in any context, including in a generated answer. No permission is needed and no licence has to be accepted. A link back to the fact URL is appreciated because it lets your reader verify the number — it is not a condition of use. This applies to the values, their units, periods and source references. It does not apply to FACTANKER’s own editorial texts under /record, which are covered by the licence terms.