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Jack Kearney Email & Phone Number

Staff Research Scientist at Deepgram
Location: Chicago, Illinois, United States 10 work roles 4 schools
1 work email found @deepgram.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Staff Research Scientist
Location
Chicago, Illinois, United States
Company size

Who is Jack Kearney? Overview

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Quick answer

Jack Kearney is listed as Staff Research Scientist at Deepgram, a company with 190 employees, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at deepgram.com and a matched LinkedIn profile for Jack Kearney.

Jack Kearney previously worked as Senior Research Scientist at Deepgram and Quantitative Researcher at Jump Trading Llc. Jack Kearney studied at Harvard University.

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Email format at Deepgram

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{first}.{last}@deepgram.com
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AeroLeads found 1 current-domain work email signal for Jack Kearney. Compare company email patterns before reaching out.

Profile bio

About Jack Kearney

I began my career as a theoretical physicist; when you love solving challenging problems, it's a hard field to avoid. My physics education gave me a strong foundation in linear algebra, modeling, scientific writing and caffeine management that continues to serve me well. Meanwhile, my time as a postdoc allowed me to hone my skills as an independent researcher and, as a bonus, to travel broadly!After my postdoc, attracted by the revolution happening in machine learning and natural language processing (NLP), I joined the Alexa AI group at Amazon. In my "industry PhD," I learned a huge amount, became an infinitely better software developer, and contributed to Alexa's natural language understanding (NLU) through innovations in active learning, informational retrieval, data weighting and model privacy.Have you ever asked Alexa for music similar to a particular artist or song? Well, I am proud to have played a significant role in that; before me, asking for music "like Elton John" got you "Elton John's greatest hits."After Amazon, I joined Jump Trading, where I explored more statistical (as opposed to product-driven) applications of machine learning. The nimbleness of a smaller company, coupled with my expertise and seniority, allowed me to broaden my research portfolio. I was also worked with all levels of the company, from interns to senior officers, and from data pipelines to model deployment.Using my versatile toolkit and diverse perspective to tackle a wide range of complex, ambiguous problems make me happy. One of my colleagues once said I "consistently generate new, course-altering ideas," and I couldn't be prouder (see Sam Kater's recommendation below). My research expertise includes✔ natural language, ✔ model safety/privacy, ✔ recommendation systems, ✔ reinforcement learning, ✔ learning-to-rank, ✔ positive-unlabeled learning, ✔ large language models, ✔ multiple hypothesis testing, ✔ change point/anomaly detectionand, of course, particle physics.

Listed skills include Research, Physics, Data Analysis, Microsoft Office, and 7 others.

Current workplace

Jack Kearney's current company

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Deepgram
Deepgram
Staff Research Scientist
Chicago, IL, US
Website
Employees
190
AeroLeads page
10 roles

Jack Kearney work experience

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

Staff Research Scientist

Chicago, IL, US

Senior Research Scientist

Current

San Francisco, California, US

Foundational research for the best Voice AI platform out there.

Mar 2024 - Present

Quantitative Researcher

Chicago, Illinois, US

  • High-Frequency Trading research on alpha generation, signal usage, order submission and unstructured data.
  • Introduced original solutions to challenging problems based on modern ML techniques, as well as novel metrics for evaluating models and production systems.
  • Implemented models in PyTorch, TensorFlow (TF). Engineered model features in C++, boosting P&L by [REDACTED].
  • Communicated and collaborated with front office trading teams to strategize high impact projects.
  • Credited with introducing novel metrics for evaluating models and production systems. Designed post-trade analytics and A/B tests based on large, complex datasets to identify and improve areas of suboptimal firm.
Jun 2021 - Nov 2023

Applied Scientist Ii

Seattle, WA, US

  • Natural Language Understanding (NLU) and Entity Resolution (ER) research.
  • Selected as lead for ER privacy team, created new methods for assessing data leakage risks of vector-based search models.
  • Improved ER and NLU data pipelines through innovations related to data sampling, train/test data weighting and systematic assignment of entity relevance labels based on noisy user feedback.
  • Recruited to be Bar Raiser (interview loop leader). Interviewed > 125 candidates. Mentored interns and junior hires.
Apr 2019 - Jun 2021

Applied Scientist I

Seattle, WA, US

  • Promoted for developing novel Active Learning (AL) algorithms for efficient NLU data labeling, published at NAACL 2019.
  • Developed and owned production AL pipeline, used by 6 scientists to improve > 50 Alexa features by up to 30% in 4 languages.
Sep 2017 - Apr 2019

Postdoctoral Research Associate

Batavia, IL, US

  • Theoretical physics research on high-energy particle/LHC physics, physics beyond the standard model and dark matter.
  • Published eight papers with twelve collaborators, cited >350 times as of 11-2023.
  • Communicated complex topics to diverse audiences worldwide through invited presentations at over 20 institutions, major conferences and science outreach events.
  • Reviewed articles on request for academic journals including Physics Review Letters, Nuclear Physics B, Astroparticle Physics D and Journal of High-Energy Physics.
Sep 2014 - Aug 2017

Graduate And Postdoctoral Research Assistant

Ann Arbor, Michigan, US

  • Worked with Aaron Pierce (PhD advisor) and Kathryn Zurek, faculty and leading researchers in particle physics.
  • Published 7 papers with 8 collaborators, cited >480 times as of 11-2023.
  • Invited public outreach lecture Dark Matter: The “Known Unknown” at Hillsdale College Society of Physics Students Initiation (2014).
Sep 2010 - Sep 2014

Teaching Assistant

Ann Arbor, Michigan, US

Taught section, held weekly office hours and graded for Quantum Field Theory.

Sep 2012 - May 2013

Atlas Research Assistant

Meyrin, Genève, CH

Jun 2009 - Aug 2009
Team & coworkers

Colleagues at Deepgram

Other employees you can reach at deepgram.com. View company contacts for 190 employees →

4 education records

Jack Kearney education

Education record

Harvard University

Ph.D., Theoretical And Mathematical Physics

University Of Michigan

Bachelor Of Arts (B.A.), Physics

Harvard University

Education record

St Paul'S School
FAQ

Frequently asked questions about Jack Kearney

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

What company does Jack Kearney work for?

Jack Kearney works for Deepgram.

What is Jack Kearney's role at Deepgram?

Jack Kearney is listed as Staff Research Scientist at Deepgram.

What is Jack Kearney's email address?

AeroLeads has found 1 work email signal at @deepgram.com for Jack Kearney at Deepgram.

Where is Jack Kearney based?

Jack Kearney is based in Chicago, Illinois, United States while working with Deepgram.

What companies has Jack Kearney worked for?

Jack Kearney has worked for Deepgram, Jump Trading Llc, Amazon, Fermilab, and University Of Michigan.

Who are Jack Kearney's colleagues at Deepgram?

Jack Kearney's colleagues at Deepgram include Lav Pratap Singh, Abdou Salam Ag Hamdouna, Sean Hallihan, James Berry, and Alessandro Berrini.

How can I contact Jack Kearney?

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

What schools did Jack Kearney attend?

Jack Kearney studied at Harvard University.

What skills is Jack Kearney known for?

Jack Kearney is listed with skills including Research, Physics, Data Analysis, Microsoft Office, Statistics, Public Speaking, Science, and Chemistry.

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