Refolk
Shared search

Senior ML engineers and applied scientists who were at Zillow between 2023 and 2026, based in Washington state, with Databricks and production LLM experience.

15 results across 15 people

1
Aaron Wroblewski
Aaron Wroblewski23y exp
Machine Learning Engineering Leader · I lead the ML behind Zillow AI Mode (agentic AI, 200M+ monthly visitors) · Built Zillow’s experimentation platform · LLM evals, personalization, A/B testing · I ship code daily
Seattle, Washington, United States· 2y at co.Possibly open
2
Kelsey Juraschka
Kelsey Juraschka13y exp
Principal Machine Learning Engineer @ Zillow, Agentic AI
Greater Seattle Area· 2y at co.
3
Cagri Yanik
Cagri Yanik19y exp
Principal Machine Learning Engineer at Zillow
Seattle, Washington, United States· 3y at co.Possibly open
4
Michael L.
Michael L.18y exp
Senior Machine Learning Engineer at Zillow
Kirkland, Washington, United States· 1y at co.
5
Jasmine Bhanushali
Jasmine Bhanushali12y exp
Senior Machine Learning Engineer, Computer Vision at Zillow | Master’s Degree in Computer Science
Greater Seattle Area· 3y at co.Likely open
6
Rui Cao
Rui Cao8y exp
Senior Machine Learning Engineer, Computer Vision at Zillow
Seattle, Washington, United States· 3y at co.Possibly open
7
Andrew Martin
Andrew Martin20y exp
Machine Learning and AI for Real Estate
Seattle, Washington, United States· 2y at co.Possibly open
8
Kai Liu
Kai Liu12y exp
Machine learning scientist@Apple | 7+ years of experience in recommendation systems, search ranking, personalization & generative AI
Greater Seattle AreaRecently started
9
Anish Khazane
Anish Khazane9y exp
Senior Machine Learning Engineer @ Meta
Seattle, Washington, United States· 2y at co.Likely open
10
Kevin Shain
Kevin Shain16y exp
Director of Machine Learning @ Brilliant.org | Ex-Zillow | Ex-Quantum Computing Researcher | Yale BS, Harvard MS Physics
Greater Seattle Area· 1y at co.
11
Sinan Zhao
Sinan Zhao13y exp
Machine Learning Engineer
Greater Seattle AreaRecently started
12
Manu S Pillai
Manu S Pillai7y exp
Machine Learning Enginer @ Qualcomm | Formerly @ HumataHealth and Zillow
Seattle, Washington, United StatesRecently started
13
YH
Yingdan Huang20y exp
AI / Machine Learning Researcher — Learning Technologies
Bellevue, Washington, United States
14
Ariane Ducellier
Ariane Ducellier20y exp
Data Scientist | Machine learning | Time series | Forecasting
Seattle, Washington, United States· 2y at co.
Russell Barton
Russell Barton2y exp
ECE & CS Student at Duke University | Machine Learning Concentration
Seattle, Washington, United States

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.