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Find ML and search engineers who worked on ranking, recommendations, or seller-side systems at Etsy between 2022 and 2026, based in the NYC metro.

12 results across 12 people

1
Andrea Heyman
Andrea Heyman10y exp
Senior Staff Software Engineer, Machine Learning at Etsy
New York, New York, United States· 1y at co.
2
Grant Sherrick
Grant Sherrick18y exp
Software Engineer
New York, New York, United States· 1y at co.
3
Kailin Weng
Kailin Weng17y exp
Staff Product Manager (Machine Learning), Recommendation/Personalization/Ranking
New York, New York, United States· 2y at co.Possibly open
4
Alisha Peermohamed
Alisha Peermohamed12y exp
Senior Data Scientist @ Etsy
New York, New York, United States· 2y at co.Likely open
5
Perry Davidoff
Perry Davidoff15y exp
Head of Search, Recommendations + Ads Analytics at Etsy
New York, New York, United StatesRecently started
6
Denisa R.
Denisa R.17y exp
X - Staff Machine Learning Engineer @ {Reddit, Amazon, Etsy, ASAPP}.
New York, New York, United States· 2y at co.Likely open
7
Lei H.
Lei H.12y exp
Machine Learning Engineering Manager at Meta (Brand Ads)
New York, New York, United States· 4y at co.Possibly open
8
Habib Farr
Habib Farr20y exp
Applied Machine Learning Researcher
New York, New York, United States
9
Sreelekha Cherukuri
Sreelekha Cherukuri8y exp
AI/Machine Learning Engineer @Salesforce AI | Mentor | Data Scientist |Advisory Board Member
New York, New York, United StatesRecently started
10
Joseph Bongo
Joseph Bongo11y exp
Machine Learning Engineer at Pinterest
New York, New York, United States· 2y at co.Likely open
11
Alec Malstrom
Alec Malstrom13y exp
New York based machine learning engineer
New York, New York, United States· 2y at co.Recently started
12
Karl Kamdem
Karl Kamdem13y exp
Machine Learning Platform Engineer
New York, New York, United States· 1y at co.

Same prompt, your brief. Change a word and I will run it again live, against the open web, and rank what comes back.

Remix this search

500 free credits on sign-up. No card.

Try it on the search you came here for

Stop building boolean strings. Just describe the person.

Type one sentence. I plan the search, read GitHub, public LinkedIn and Crunchbase records, and the open web as it is right now, and hand back a ranked list with the reason next to every name.

  1. 01Describe them

    One plain sentence. Role, city, stack, stage, whatever matters to you.

  2. 02I read the web live

    GitHub, public LinkedIn and Crunchbase records, the open web. Not a database that went stale last quarter.

  3. 03You read the shortlist

    Ranked, with the reasoning under every name. Open a profile, ask a follow-up, narrow it down.

  • No boolean, no filters, no seat to buy. One box.
  • Read at search time, so a profile updated yesterday counts today.
  • Every step visible as it runs, every name with its reason.

500 free credits on sign-up. No card, no demo call. See real searches.