Nick Meyer
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Nick Meyer Email & Phone Number

Staff Software Engineer at Stack AV
Location: Pittsburgh, Pennsylvania, United States 14 work roles 2 schools
1 work email found @argo.ai 1 phone found area 208 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email n****@argo.ai
Direct phone (208) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Staff Software Engineer
Location
Pittsburgh, Pennsylvania, United States

Who is Nick Meyer? Overview

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Quick answer

Nick Meyer is listed as Staff Software Engineer at Stack AV, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at argo.ai, phone signal with area code 208, and a matched LinkedIn profile for Nick Meyer.

Nick Meyer previously worked as Software Engineer at Motional and Software Engineer at Facebook. Nick Meyer holds Doctor Of Philosophy (Ph.D.), Statistics from North Carolina State University.

Company email context

Email format at Stack AV

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{first_initial}{last}@argo.ai
86% confidence

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

Profile bio

About Nick Meyer

Nick Meyer is a Staff Software Engineer at Stack AV. He possess expertise in statistics, data analysis, r, latex, python and 15 more skills.

Listed skills include Statistics, Data Analysis, R, Latex, and 16 others.

Current workplace

Nick Meyer's current company

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

Stack AV
Stack Av
Staff Software Engineer
AeroLeads page
14 roles

Nick Meyer work experience

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

Staff Software Engineer

Current

Pittsburgh, PA, US

May 2023 - Present

Software Engineer

Boston, Massachusetts, US

Software engineer on the autonomy research team.

Sep 2022 - Apr 2023

Software Engineer

Working on prototype headsets for virtual and augmented reality research.

Aug 2021 - Sep 2022

Senior Software Engineer, Software Special Projects

Pittsburgh, Pennsylvania, US

Jan 2021 - Jun 2021

Tech Lead, Onboard Software Performance

Pittsburgh, Pennsylvania, US

Jun 2020 - Jan 2021

Senior Software Engineer, Onboard Libraries

Pittsburgh, Pennsylvania, US

Jul 2018 - Jun 2020

Software Engineer

Pittsburgh, Pennsylvania, US

Sep 2017 - Jul 2018

Graduate Student

Raleigh, North Carolina, US

I am a PhD student at North Carolina State University in the statistics department. Working with Drs. Eric Laber, Brian Reich, and Krishna Pacifici, we are developing adaptive algorithms for managing replication agents on heterogeneous networks. Our motivating problem is White-Nose Syndrome (WNS). WNS is an infectious fungus currently affecting hibernating.

Aug 2012 - Aug 2017

Autonomous Vehicle Analytics Intern

Dearborn, Michigan, US

May 2016 - Aug 2016

Operations Research Intern

Richland, WA, US

Developed software for simulating the inspection process of a nuclear material storage facility. This framework will allow inspectors to test new techniques and evaluate the effectiveness of an inspection strategy. Knowing the strengths and weaknesses of each strategy is necessary to accurately monitor a nuclear stockpile.

May 2015 - Aug 2015

Graduate Research Assistant

Durham, North Carolina, US

From August 2012 to May 2015, I was on a traineeship at North Carolina State University supervised by Dr. Marie Davidian and sponsored by the National Heart Lung and Blood Institute. The opportunities I was exposed to at the Duke Clinical Research Institute (DCRI) provided interesting applications to the theory learned in my coursework. In August 2013, I.

Aug 2012 - May 2015

Research Assistant

Institute For Social Research, University Of Michigan

Under the supervision of Drs. Susan Murphy and Eric Laber, we developed uncertainties for two reinforcement learning algorithms: Least Squares Policy Iteration (Lagoudakis and Parr 2003) and Greedy-GQ (Maei, Szepesvari, Bhatnagar and Sutton 2010). My role was to implement these methods on canonical toy examples, such as "cart-pole" and "puddle world"..

May 2011 - Aug 2011

Deck Crew

St. Clair Shores, Michigan, US

· Assumed responsibility and leadership for the entire crew in all functions · Directly assisted the captain and first mate in controlling the boat during the charter · Prepared the boat for the arrival and departure (often had 150+ guests)

May 2010 - Aug 2010

Assistant Sailing Coach

The Grosse Pointe Club

· Taught 20+ beginners the basics of sailing and the necessary skills needed to improve

May 2009 - Aug 2009
2 education records

Nick Meyer education

Doctor Of Philosophy (Ph.D.), Statistics

North Carolina State University

Bachelor Of Science, Statistics, Financial Mathematics, And Economics

University Of Michigan
FAQ

Frequently asked questions about Nick Meyer

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

What company does Nick Meyer work for?

Nick Meyer works for Stack AV.

What is Nick Meyer's role at Stack AV?

Nick Meyer is listed as Staff Software Engineer at Stack AV.

What is Nick Meyer's email address?

AeroLeads has found 1 work email signal at @argo.ai for Nick Meyer at Stack AV.

What is Nick Meyer's phone number?

AeroLeads has found 1 phone signal(s) with area code 208 for Nick Meyer at Stack AV.

Where is Nick Meyer based?

Nick Meyer is based in Pittsburgh, Pennsylvania, United States while working with Stack AV.

What companies has Nick Meyer worked for?

Nick Meyer has worked for Stack Av, Motional, Facebook, Argo Ai, and North Carolina State University.

How can I contact Nick Meyer?

You can use AeroLeads to view verified contact signals for Nick Meyer at Stack AV, including work email, phone, and LinkedIn data when available.

What schools did Nick Meyer attend?

Nick Meyer holds Doctor Of Philosophy (Ph.D.), Statistics from North Carolina State University.

What skills is Nick Meyer known for?

Nick Meyer is listed with skills including Statistics, Data Analysis, R, Latex, Python, Machine Learning, Reinforcement Learning, and Adaptive Learning.

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