Vice President, Machine Learning
CurrentMachine Learning, Computer Vision, Graphics, Generative AI, Data Science and Engineering for Content Production, Localization & Promotion at Netflix
Nov 2024 - Present
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Ritwik Kumar Email & Phone Number
Vice President, Machine Learning at Netflix
at
Netflix
4 work emails found
@netflix.com
1 phone found area 352
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Vice President, Machine Learning at Netflix
Location
San Francisco Bay Area, United States
Who is Ritwik Kumar? Overview
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Ritwik Kumar is listed as Vice President, Machine Learning at Netflix at Netflix, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at netflix.com, phone signal with area code 352, and a matched LinkedIn profile for Ritwik Kumar.
Ritwik Kumar previously worked as Vice President, Machine Learning at Netflix and Senior Director, Machine Learning at Netflix. Ritwik Kumar holds Phd & Ms, Computer Engineering from University Of Florida.
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*@netflix.com
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Profile bio
About Ritwik Kumar
Contact: linux4ritwik@gmail.com
Listed skills include Information Retrieval, Algorithms, C, Matlab, and 17 others.
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11 roles
Ritwik Kumar work experience
A career timeline built from the work history available for this profile.
Senior Director, Machine Learning
Machine Learning, Computer Vision, Graphics, Generative AI, Data Science and Engineering for content production, localization & promotion.
May 2023 - Nov 2024
Director, Machine Learning
Leading teams of scientists and engineers focused on the application of machine learning to the way we present content on Netflix service as well as how we market Netflix brand and titles. A few projects we work on —► Automatic generation of artwork and video promotional assets.► Deep Learning for high-quality machine translations.► Predicting per title per language demand.► Deep Learning for text understanding (e.g. customer complaint mining).► Operations workflow optimizations via intelligent routing.Publication:Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation, AAAI 2020Match Cutting: Finding Cuts with Smooth Visual Transitions, WACV 2022
Nov 2017 - May 2023
Senior Engineering Manager, Machine Learning
Built and managed multiple teams of scientists focused on applying AI, Machine Learning & Differential Privacy to fight account takeovers (ATO), fake accounts, financial fraud on the App Store & Apple Pay, search abuse, fake reviews, App Store piracy & iMessage spam. A sampling of projects:► Unsupervised and supervised transfer learning using auto-encoders & deep neural nets for estimating account trust.► Deep Learning using Recurrent Neural Nets for event sequence mining to secure accounts.► Rank-Support Vector Machines & text embedding (NLP) for the App Store review relevance scoring.► Machine Learning with click stream & text data to increase the App Store search relevance.Patents:- Differential privacy for message text content mining (US20180091466A1)- On-device rate-liming using tailored proof-of-work (US20180089465A1)- Electronic device passcode recommendation using on-device information (62/738,698)
Apr 2013 - Nov 2017
Research Staff Member
► Mining data for similarity, Collaborative Filtering with missing data, Parallel Machine Learning, Predictive Analytics with text, image & video data► Originally conceived, nurtured and evolved (in collaboration with two team members) a research idea into an IBM Grand Challenge (some other IBM GCs have included Deep Blue, Jeopardy Watson). Over 20 researchers working on the project across three countries.► Worked closely with a major client as we deployed high value analytics solutions tapping into client’s data banks. Provided the technical analytics backbone for the IBM team.
Feb 2011 - Apr 2013
Postdoctoral Research Fellow
► Invented Radon-Like Features (Connectome Project, MMBIA 2010, with A.V. Reina & H. Pfister) for neuron boundary segmentation in Electron Micrographs. Since then, Radon-Like Features have been successfully used for satellite image analysis, angiogram vessel tree analysis and echocardiogram Doppler image analysis.► Invented Kernel Plurality (ICCV 2011, with A. Banerjee, B. C. Vemuri & H. Pfister), a method for combining multiple classifier outputs or building consensus among voters, in a supervised setting, such that the victory margin for the correct class with respect to all other candidate classes is maximized.
Jan 2010 - Jan 2011
Alumni Fellow
► Worked in various capacities (Teaching Assistant / Research Assistant / Graduate Assistant) as an Alumni Fellow. Alumni Fellowship is awarded to "Graduate students with outstanding undergraduate preparation, a strong commitment to their field of study and demonstrated potential in research and creative activities" www.uff.ufl.edu/scholarships/► One semester my duties included brewing coffee for the department office. A professor in appreciation of my work once commented "Ah, it's so great to see someone correctly label this coffee COLOMBIAN, I was so sick of seeing the incorrect COLUMBIAN tag on it".
Aug 2005 - Dec 2009
Intern
Invented MoRF: Morphable Reflectance Fields (CVPR 2010, with M. Jones & T. Marks), a method for enhancing single image face recognition by augmenting single image galleries with automatically generated new relit images. Additionally, built a micro-controller synchronized multi-camera multi-flash face image acquisition dome for data collection.
May 2009 - Aug 2009
May 2008 - Aug 2008
Research/Teaching Assistant
Dhirubhai Ambani Institute Of Information And Communication Technology
Assisted professor with classroom teaching, grading and research projects
Aug 2004 - Apr 2005
May 2003 - Jul 2003
3 education records
Ritwik Kumar education
Phd & Ms, Computer Engineering
University Of Florida
B. Tech., Information And Communication Technology
Dhirubhai Ambani Institute Of Information And Communication Technology
High School
Apeejay School
FAQ
Frequently asked questions about Ritwik Kumar
Quick answers generated from the profile data available on this page.
What company does Ritwik Kumar work for?
Ritwik Kumar works for Netflix.
What is Ritwik Kumar's role at Netflix?
Ritwik Kumar is listed as Vice President, Machine Learning at Netflix at Netflix.
What is Ritwik Kumar's email address?
AeroLeads has found 4 work email signals at @netflix.com for Ritwik Kumar at Netflix.
What is Ritwik Kumar's phone number?
AeroLeads has found 1 phone signal(s) with area code 352 for Ritwik Kumar at Netflix.
Where is Ritwik Kumar based?
Ritwik Kumar is based in San Francisco Bay Area, United States while working with Netflix.
What companies has Ritwik Kumar worked for?
Ritwik Kumar has worked for Netflix, Apple, Ibm Research, Harvard University, and University Of Florida.
How can I contact Ritwik Kumar?
You can use AeroLeads to view verified contact signals for Ritwik Kumar at Netflix, including work email, phone, and LinkedIn data when available.
What schools did Ritwik Kumar attend?
Ritwik Kumar holds Phd & Ms, Computer Engineering from University Of Florida.
What skills is Ritwik Kumar known for?
Ritwik Kumar is listed with skills including Information Retrieval, Algorithms, C, Matlab, Image Processing, Hadoop, Natural Language Processing, and Signal Processing.
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