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Gili Karni Email & Phone Number
Machine Learning Scientist
at
Netflix
LinkedIn matched
✓ Verified May 2026
3 data sources
Profile completeness 100%
Current company
Role
Machine Learning Scientist
Location
New York, New York, United States
Company size
Who is Gili Karni? Overview
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Quick answer
Gili Karni is listed as Machine Learning Scientist at Netflix, a company with 17330 employees, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Gili Karni.
Gili Karni previously worked as Teaching Assistant at Princeton University and Research Assistant at Princeton University. Gili Karni holds Doctor Of Philosophy - Phd, Computational Neuroscience from Princeton University.
Company email context
Email format at Netflix
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Netflix
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Profile bio
About Gili Karni
Gili Karni is a Machine Learning Scientist at Netflix. She possess expertise in analysis, project management, research, data analysis, intelligence analysis and 6 more skills.
Listed skills include Analysis, Project Management, Research, Data Analysis, and 7 others.
Current workplace
Gili Karni's current company
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Netflix
8 roles · 4 years
Gili Karni work experience
A career timeline built from the work history available for this profile.
Teaching Assistant
Graduate student Bootcamp instructor (Summer 2023)- Designed and taught Machine Learning labs.Assistant instructor for Methods in Human Cognitive Neuroscience, NEU 502B (Spring 2023) - Guided and graded graduate student projects including experimental design, data collection, and analysis.Assistant instructor for Fundamentals of Neuroscience, NEU 201 (Fall.
2022 - 2023
~1 yr
Research Assistant
- Developed statistical models of reward-based learning using neural and behavioral data.- Modeled learning representation, policies, and memory in healthy and clinical populations.
Oct 2020 - Jul 2021
Undergraduate Research Assistant
- Developed a biophysical model of predictive coding, examining inference under genetic variants associated with schizophrenia. - Optimized models’ runtime using parallelization frameworks and public/private servers.
Sep 2018 - May 2020
Research Intern
- Developed a mixed-data neural network predicting psychosis among subjects at clinical high risk. - Analyzed structural data (MRI) using partial correlations to identify early biomarkers of psychosis.
May 2019 - Sep 2019
Data Science Intern
- Developed an ETL pipeline, increasing analysis-available data by 50%.- Implemented time series statistical models delivering real-time medical data to patients and therapists.- Collaborated on designing & engineering methods measuring of reaction time in virtual/augmented reality. Patented.
Jun 2018 - Nov 2018
Data Analysis Intern
- Designed and developed an NLP model, identifying customer intent from incoming chat messages and delivered a production-ready python web system with training pipeline and dashboards.
May 2017 - Aug 2017
Cyber Analyses, Team Leader
Jun 2013 - Nov 2015
Team & coworkers
Colleagues at Netflix
Other employees you can reach at netflix.com. View company contacts for 17330 employees →
HN
Hamid Nouri
Colleague at Netflix
Tehran, Tehran Province, Iran, Iran, Islamic Republic Of
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AL
Amy Lemisch
Colleague at Netflix
Los Angeles, California, United States, United States
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EX
Everson Xavier Da Silva
Colleague at Netflix
Arapoti, Paraná, Brazil, Brazil
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MP
Mark Popradi
Colleague at Netflix
Pilisszentiván, Pest, Hungary, Hungary
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BP
Biannca Prince
Colleague at Netflix
St Louis, Missouri, United States, United States
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PK
Prateek Kumar
Colleague at Netflix
Delhi, India, India
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MH
Mahdi Haghi
Colleague at Netflix
Tehran, Tehran Province, Iran, Iran, Islamic Republic Of
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HG
Hasan Ghadimi
Colleague at Netflix
Saarbrücken, Saarland, Germany, Germany
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BK
Bhoore Khan
Colleague at Netflix
Delhi, India, India
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NK
Nabilkazmi Kazmi
Colleague at Netflix
Lahore, Punjab, Pakistan, Pakistan
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Hamid Nouri
Colleague at Netflix
Tehran, Tehran Province, Iran, Iran, Islamic Republic Of
View →
AL
Amy Lemisch
Colleague at Netflix
Los Angeles, California, United States, United States
View →
EX
Everson Xavier Da Silva
Colleague at Netflix
Arapoti, Paraná, Brazil, Brazil
View →
MP
Mark Popradi
Colleague at Netflix
Pilisszentiván, Pest, Hungary, Hungary
View →
BP
Biannca Prince
Colleague at Netflix
St Louis, Missouri, United States, United States
View →
PK
Prateek Kumar
Colleague at Netflix
Delhi, India, India
View →
MH
Mahdi Haghi
Colleague at Netflix
Tehran, Tehran Province, Iran, Iran, Islamic Republic Of
View →
HG
Hasan Ghadimi
Colleague at Netflix
Saarbrücken, Saarland, Germany, Germany
View →
BK
Bhoore Khan
Colleague at Netflix
Delhi, India, India
View →
NK
Nabilkazmi Kazmi
Colleague at Netflix
Lahore, Punjab, Pakistan, Pakistan
View →
3 education records
Gili Karni education
Doctor Of Philosophy - Phd, Computational Neuroscience
M.A, Neuroscience
Bachelor Of Science - Bs, Data Science And Statistics & Cognitive Science
FAQ
Frequently asked questions about Gili Karni
Quick answers generated from the profile data available on this page.
What company does Gili Karni work for?
Gili Karni works for Netflix.
What is Gili Karni's role at Netflix?
Gili Karni is listed as Machine Learning Scientist at Netflix.
Where is Gili Karni based?
Gili Karni is based in New York, New York, United States while working with Netflix.
What companies has Gili Karni worked for?
Gili Karni has worked for Netflix, Princeton University, Berlin Institute Of Technology (Technische Universität Berlin), Ibm, and Xrhealth.
Who are Gili Karni's colleagues at Netflix?
Gili Karni's colleagues at Netflix include Hamid Nouri, Amy Lemisch, Everson Xavier Da Silva, Mark Popradi, and Biannca Prince.
How can I contact Gili Karni?
You can use AeroLeads to view verified contact signals for Gili Karni at Netflix, including work email, phone, and LinkedIn data when available.
What schools did Gili Karni attend?
Gili Karni holds Doctor Of Philosophy - Phd, Computational Neuroscience from Princeton University.
What skills is Gili Karni known for?
Gili Karni is listed with skills including Analysis, Project Management, Research, Data Analysis, Intelligence Analysis, Sql, Team Leadership, and Product Management.
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