Jun 2024 - Present
AeroLeads people directory · profile
Arya Shah Email & Phone Number
Machine Learning Engineer
at
Meta
LinkedIn matched
✓ Verified August 2026
3 data sources
Profile completeness 86%
Current company
Role
Machine Learning Engineer
Location
San Francisco Bay Area, United States
Company size
Who is Arya Shah? Overview
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Quick answer
Arya Shah is listed as Machine Learning Engineer at Meta, a with 5 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Arya Shah.
Arya Shah previously worked as Graduate Teaching Assistant at Machine Learning Department At Cmu and Research Assistant at Machine Learning Department At Cmu. Arya Shah holds Bachelor'S Degree, Computer Science, 3.95 / 4 from Carnegie Mellon University.
Company email context
Email format at Meta
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Meta
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Profile bio
About Arya Shah
Bachelor's in CS / AI and Master's in ML at CMU. Interested in Machine Learning / Research engineer positions.
Current workplace
Arya Shah's current company
Company context helps verify the profile and gives searchers a useful next step.
Meta
8 roles
Arya Shah work experience
A career timeline built from the work history available for this profile.
Graduate Teaching Assistant
For Prof. Ruslan Salakhutdinov, 10-707 Advanced Deep Learning
Aug 2023 - May 2024
May 2023 - May 2024
Teaching Assistant For Machine Learning (10-315)
Aug 2022 - May 2023
Software Engineer Intern
May 2022 - Aug 2022
Teaching Assistant For Concepts Of Mathematics
Jan 2022 - May 2022
Teaching Assistant For Great Practical Ideas In Computer Science
Aug 2021 - Dec 2021
Research Assistant At Human Computer Interaction (Hci)
May 2021 - Jul 2021
Team & coworkers
Colleagues at Meta
Other employees you can reach at metadownhole.com. View company contacts for 5 employees →
AS
Aurora Sofia Vear
Colleague at MetaPleasant Hill, California, United States
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EC
Eric Chan
Colleague at MetaHong Kong Sar, Hong Kong
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MN
Maggie Nora
Colleague at MetaDhaka, Bangladesh
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AS
Ahamed Shohag
Colleague at MetaDhaka, Bangladesh
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JP
Jay Pop
Colleague at MetaNew York, United States
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HK
Hitesh Kumar
Colleague at MetaSingapore
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AS
Abdullah Samma
Colleague at MetaHouston, Texas, United States
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SH
Siyun H.
Colleague at MetaSunnyvale, California, United States
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FC
Fabrizio Conte
Colleague at MetaPortugal
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HA
Hita Azad
Colleague at MetaSan Jose, California, United States
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Aurora Sofia Vear
Colleague at MetaPleasant Hill, California, United States
View →
EC
Eric Chan
Colleague at MetaHong Kong Sar, Hong Kong
View →
MN
Maggie Nora
Colleague at MetaDhaka, Bangladesh
View →
AS
Ahamed Shohag
Colleague at MetaDhaka, Bangladesh
View →
JP
Jay Pop
Colleague at MetaNew York, United States
View →
HK
Hitesh Kumar
Colleague at MetaSingapore
View →
AS
Abdullah Samma
Colleague at MetaHouston, Texas, United States
View →
SH
Siyun H.
Colleague at MetaSunnyvale, California, United States
View →
FC
Fabrizio Conte
Colleague at MetaPortugal
View →
HA
Hita Azad
Colleague at MetaSan Jose, California, United States
View →
2 education records
Arya Shah education
Bachelor'S Degree, Computer Science, 3.95 / 4
Master Of Science - Ms, Machine Learning, 4.1 / 4.0
FAQ
Frequently asked questions about Arya Shah
Quick answers generated from the profile data available on this page.
What company does Arya Shah work for?
Arya Shah works for Meta.
What is Arya Shah's role at Meta?
Arya Shah is listed as Machine Learning Engineer at Meta.
Where is Arya Shah based?
Arya Shah is based in San Francisco Bay Area, United States while working with Meta.
What companies has Arya Shah worked for?
Arya Shah has worked for Meta, Machine Learning Department At Cmu, Aloft, and Carnegie Mellon University.
Who are Arya Shah's colleagues at Meta?
Arya Shah's colleagues at Meta include Aurora Sofia Vear, Eric Chan, Maggie Nora, Ahamed Shohag, and Jay Pop.
How can I contact Arya Shah?
You can use AeroLeads to view verified contact signals for Arya Shah at Meta, including work email, phone, and LinkedIn data when available.
What schools did Arya Shah attend?
Arya Shah holds Bachelor'S Degree, Computer Science, 3.95 / 4 from Carnegie Mellon University.
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