AeroLeads people directory · profile

Samarth Mehta Email & Phone Number

Staff Engineer @ Meta at Meta
Location: San Francisco, California, United States 6 work roles 2 schools
1 work email found @facebook.com 1 phone found area 408 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email s****@facebook.com
Direct phone (408) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Staff Engineer @ Meta
Location
San Francisco, California, United States

Who is Samarth Mehta? Overview

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Quick answer

Samarth Mehta is listed as Staff Engineer @ Meta at Meta, based in San Francisco, California, United States. AeroLeads shows a work email signal at facebook.com, phone signal with area code 408, and a matched LinkedIn profile for Samarth Mehta.

Samarth Mehta previously worked as Staff Engineer at Meta and Founding ML Engineer at Motive. Samarth Mehta holds Master Of Science (M.S.), Computer Science (Data Science) from Santa Clara University.

Company email context

Email format at Meta

This section adds company-level context without repeating Samarth Mehta's masked contact details.

{first}.{last}@facebook.com
86% confidence

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

Profile bio

About Samarth Mehta

Experienced Data and ML Lead with expertise in cloud infrastructure and PB-scale analytics.

Listed skills include C++, Python, Sql, Data Analysis, and 21 others.

Current workplace

Samarth Mehta's current company

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

Meta
Meta
Staff Engineer @ Meta
AeroLeads page
6 roles · 9 years

Samarth Mehta work experience

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

Staff Engineer

Current

Menlo Park, CA, US

Technical Lead for the data engineering teams at Reality Labs. Building customer segmentation, personalized ad targeting models and sales strategies.

Jun 2020 - Present

Founding Ml Engineer

San Francisco, California, US

First ML Engineer hire at KeepTruckin (now Motive)- Built and company-first ML and Data platform on Spark. - Architected solution to go from research to processing capacity of 1M+ videos a day for real-time road safety annotation using Computer Vision on Tensorflow and Nvidia Accelerators.

Mar 2019 - Jun 2020

Data Engineer

San Francisco, CA, US

2018 - 2019 ~1 yr

Software Engineer

San Francisco, California, US

2017 - 2018 ~1 yr
2 education records

Samarth Mehta education

Master Of Science (M.S.), Computer Science (Data Science)

Santa Clara University

Bachelor Of Technology (B.Tech.), Electrical And Electronics Engineering

Manipal Institute Of Technology
FAQ

Frequently asked questions about Samarth Mehta

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

What company does Samarth Mehta work for?

Samarth Mehta works for Meta.

What is Samarth Mehta's role at Meta?

Samarth Mehta is listed as Staff Engineer @ Meta at Meta.

What is Samarth Mehta's email address?

AeroLeads has found 1 work email signal at @facebook.com for Samarth Mehta at Meta.

What is Samarth Mehta's phone number?

AeroLeads has found 1 phone signal(s) with area code 408 for Samarth Mehta at Meta.

Where is Samarth Mehta based?

Samarth Mehta is based in San Francisco, California, United States while working with Meta.

What companies has Samarth Mehta worked for?

Samarth Mehta has worked for Meta, Motive, Whistle Labs, Snapmagic, and Dialog Semiconductor.

How can I contact Samarth Mehta?

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

What schools did Samarth Mehta attend?

Samarth Mehta holds Master Of Science (M.S.), Computer Science (Data Science) from Santa Clara University.

What skills is Samarth Mehta known for?

Samarth Mehta is listed with skills including C++, Python, Sql, Data Analysis, Data Engineering, Machine Learning, Java, and Scikit Learn.

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