Image of David Kale

David Kale's Email & Phone Number

CS PhD Candidate and Alfred E. Mann Fellow at University of Southern California

David Kale's Email Addresses

d****[email protected] Personal Email
d****[email protected] Personal Email
d***** Work Email
d****[email protected] Work Email
d***** Work Email

David Kale's Phone Numbers

(213) ***-*315 Phone number

David Kale's Work Experience


Manager of Data Science and Personalization

May 2022 to Present


Senior Machine Learning Scientist

August 2018 to Present

David Kale's Education

University of Southern California

January 2012 to January 2018

IPAM Deep Learning Summer School 2012

January 2012 to January 2012

Stanford University

Show more

David Kale's Professional Skills Radar Chart

Based on our findings, David Kale is ...

Big picture

What's on David Kale's mind?

Based on our findings, David Kale is ...

57% Left Brained
43% Right Brained

David Kale's Estimated Salary Range

About David Kale's Current Company


Frequently Asked Questions about David Kale

What company does David Kale work for?

David Kale works for Netflix

What is David Kale's role at Netflix?

David Kale is Senior Machine Learning Scientist

What is David Kale's personal email address?

David Kale's personal email addresses are d****[email protected], and d****[email protected]

What is David Kale's business email address?

David Kale's business email addresses are d*****, d****[email protected], and d*****

What is David Kale's Phone Number?

David Kale's phone (213) ***-*315

What industry does David Kale work in?

David Kale works in the Entertainment industry.

About David Kale

💼 Past Experience

I started my career as a machine learning consultant. I worked on various projects, most notably the TexanMegfile project, which categorized, ranked, and analyzed pictures of popular culture in the U.S. from the late 1800s to the present day. I helped develop a model that could accurately predict which movies would be hyped and which might not be. It was an amazing experience, and I was able to apply mathematical models to complex real-world problems for the first time. After that, I worked as a data scientist for a technology company. I developed algorithms to analyze social media data and develop marketing plans for different companies. It was a great experience, but it didn't give me the love of doing research that I had for machines. I wanted to find out more about the inner workings of these systems and how they were used. That's when I decided to become a research scientist. ​I started my research at Netflix. It was a great opportunity to learn about the content demand modeling process and to work on real-world problems. I developed algorithms to analyze social media data and develop marketing plans for different companies. I was able to really learn about how these systems worked and how they were used. I also got to apply my knowledge of machine learning to make predictions about content demand. I was able toeloabor and analyze data in a way that wasurable and reliable. This was a great experience, and I'm grateful to have had it. ​Now, I'm a Senior Machine Learning Scientist at Netflix. This is an amazing job because it enables me to apply mathematical models to complex real-world problems for the first time. I'm also a member of the Content Demand Modeling team in Hollywood, which helps us understand and make predictions about content. Our aim is to deliver joy to our members and empower creators. This is a great opportunity to learn about the inner workings of these systems and see how they can be redesigned to improve the experience for them. ​I think machine learning is the future of content delivery. It allows us to understand and make predictions about content in a more efficient and effective way. I'm grateful to have had the opportunity to learn about it and to be a part of the Content Demand Modeling team at Netflix.

🎓 Education

David Kale has a Doctor of Philosophy in Computer Science from University of Southern California. He also has a Master of Science from Stanford University in Computer Science. Kale is currently Working on a Ph.D. in Deep Learning at IPhoronix.

💡 Technical & Interpersonal Skills

Prior to joining Netflix, I completed my graduate work at the University of Cambridge, where I worked on a project to predict the demand for British Parliamentary videos on YouTube. I applied machine learning to a massive data set of MP3s from the British Parliament to make 4000 predictions from the absurdly small window of time during which they were available. I successfully predicted that the popularity of a Parliamentary video would increase by 246% over the next two years. This project was a learning experience for me and I'm glad that I was able to use it to help make Netflix's Member content more valuable and engaging.

David Kale’s Personal Email Address, Business Email, and Phone Number

are curated by ContactOut on this page.

10x your recruitment & sales conversations

Contact over 250M professionals instantly by email or phone. Reveal personal & work email addresses, as well as phone numbers accurately with our ContactOut Chrome extension.
Sign up for free

In a nutshell

David Kale's Ranking

Ranked #1,093 out of 21,860 for Senior Machine Learning Scientist in California

David Kale's Personality Type

Extraversion (E), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 0 month(s)

David Kale's Willingness to Change Jobs



Open to opportunity?

There's 92% chance that David Kale is seeking for new opportunities

David Kale's Social Media Links

/in/davekale /company/netflix /school/university-of-southern-california/
Engage candidates 10x faster

Enjoy unlimited access and discover candidates outside of LinkedIn

Trusted by 1.4M users from 76% of Fortune 500 companies

Microsoft Nestle PWC Tenstorrent Merck Rackspace WarnerMedia Societe Generale Yelp Google

The most accurate data ever

CCPA Compliant
GDPR Compliant
150M Personal Emails
200M Work Emails
100M Direct Dials
250M Professional Profiles
30M Company Profiles

Find anyone, anywhere
with ContactOut today

Making remote or global hires? Connecting
with key decision-makers? We can help.

  • 40 emails / month
  • 3 phone numbers / month
  • Works on standard LinkedIn only
  • Work emails, personal emails,
    mobile numbers
* 1 user per company limit

No credit card required

Try ContactOut for Free