Estee Lauder Companies | Staff Machine Learning Engineer | Long Island City - NY | Hybrid | Full-Time
Estee Lauder Companies Long Island City - NY
Why this grade
This listing scored 45/100, which is a D. It lost the most ground on pay transparency.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$163k – $275k
That is the middle half of what comparable roles paid on this board over the last 90 days — 28 listings that did publish a figure, median $178k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
hn-hiring
As a Staff Machine Learning Engineer, you're a player-coach: a strong hands-on contributor who also sets standards, reviews others' work, authors the designs others build against, and mentors the team. You design, build, test, and deploy production AI products and the platform beneath them, and you shape how we build and integrate AI systems — working with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable deliverables.
The core of this role is engineering: agentic AI products and their platform, including stateful, transactional services where reliability and data-modeling rigor matter. Classical ML, statistics, and experimentation are valued and let us take on predictive and inference work when the roadmap calls for it — but you may spend long stretches purely on AI-product and platform engineering, so we're looking for someone energized by that work.
Interview process: Recruiter call, meet hiring manager
https://careers.elcompanies.com/careers/job/1168273194779
Apply for this role Opens careers.elcompanies.com — verified as the employer's own application page
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Where this listing came from
- 02 Oct 2026 Hacker News first sighting
Seen on 1 board over 1 day.