Jack Rae
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Jack Rae Email & Phone Number

AI Research Scientist at Meta
Location: United States, United States, United States 7 work roles 3 schools
1 work email found @google.com 3 phones found area 757 and 650 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email j****@google.com
Direct phone (757) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
AI Research Scientist
Location
United States, United States, United States
Company size

Who is Jack Rae? Overview

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Quick answer

Jack Rae is listed as AI Research Scientist at Meta, a company with 1 employees, based in United States, United States, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 757, 650, and a matched LinkedIn profile for Jack Rae.

Jack Rae previously worked as Principal Research Scientist at Google and Member of Technical Staff at Openai. Jack Rae holds Doctor Of Philosophy - Phd, Computer Science from Ucl.

Company email context

Email format at Meta

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{first_initial}{last}@google.com
79% confidence

AeroLeads found 1 current-domain work email signal for Jack Rae. Compare company email patterns before reaching out.

Profile bio

About Jack Rae

I am interested in areas within mathematics and computer science that help us understand and create intelligence.I currently research language models and long-range memory.I have enjoyed learning about topics within algorithm design, probability, graph theory, information theory, and statistics.

Listed skills include Statistics, Statistical Data Analysis, Machine Learning, Data Mining, and 14 others.

Current workplace

Jack Rae's current company

Company context helps verify the profile and gives searchers a useful next step.

Meta
Meta
AI Research Scientist
United States
Website
Employees
1
AeroLeads page
7 roles

Jack Rae work experience

A career timeline built from the work history available for this profile.

Ai Research Scientist

United States

Principal Research Scientist

Current

Mountain View, CA, US

Jul 2023 - Present

Member Of Technical Staff

San Francisco, CA, US

Jun 2022 - Jun 2023

Senior Staff Research Scientist

London, London, GB

Jul 2021 - May 2022

Staff Research Scientist

London, London, GB

Nov 2019 - Jul 2021

Research Engineer

London, London, GB

Aug 2014 - Nov 2019

Data Scientist

Quora
Jun 2013 - Jun 2014
Team & coworkers

Colleagues at Meta

Other employees you can reach at google.com. View company contacts for 1 employees →

3 education records

Jack Rae education

Doctor Of Philosophy - Phd, Computer Science

Ucl

Master Of Science (M.S.), Statistics

Carnegie Mellon University

Master Of Science (M.Sc.), Mathematics And Computer Science

University Of Bristol
FAQ

Frequently asked questions about Jack Rae

Quick answers generated from the profile data available on this page.

What company does Jack Rae work for?

Jack Rae works for Meta.

What is Jack Rae's role at Meta?

Jack Rae is listed as AI Research Scientist at Meta.

What is Jack Rae's email address?

AeroLeads has found 1 work email signal at @google.com for Jack Rae at Meta.

What is Jack Rae's phone number?

AeroLeads has found 3 phone signal(s) with area code 757, 650 for Jack Rae at Meta.

Where is Jack Rae based?

Jack Rae is based in United States, United States, United States while working with Meta.

What companies has Jack Rae worked for?

Jack Rae has worked for Meta, Google, Openai, Deepmind, and Quora.

Who are Jack Rae's colleagues at Meta?

Jack Rae's colleagues at Meta include Udit Patel, وظائف في المملكة, Robert Orr, Amisha Verma, and Mauricio Sanchez.

How can I contact Jack Rae?

You can use AeroLeads to view verified contact signals for Jack Rae at Meta, including work email, phone, and LinkedIn data when available.

What schools did Jack Rae attend?

Jack Rae holds Doctor Of Philosophy - Phd, Computer Science from Ucl.

What skills is Jack Rae known for?

Jack Rae is listed with skills including Statistics, Statistical Data Analysis, Machine Learning, Data Mining, Mountain Bike, Algorithm Design, Artificial Neural Networks, and Data Streaming.

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