Jonathan Koren's Email & Phone - Full Stack Machine Learning And Data Products Leader

Jonathan Koren's Work Experience

Apple

Senior Software Engineer - Tech Lead

August 2021 to Present

Mozilla

Senior Staff Research Engineer; Lead Machine Learning

October 2017 to Present

Ozlo Inc.

Senior Software Engineer

November 2015 to September 2017

Jonathan Koren's Education

University of California, Santa Cruz

January 2006 to January 2011

Southern Illinois University, Carbondale

January 2001 to January 2003

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In a nutshell

Jonathan Koren's Ranking

Ranked #1,093 out of 21,860 for Senior Staff Research Engineer; Lead Machine Learning in California

Jonathan Koren's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 0 month(s)

Jonathan Koren's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 92% chance that Jonathan Koren is seeking for new opportunities

Jonathan Koren's Professional Skills Radar Chart

Based on our findings, Jonathan Koren is ...

Structured

Energetic

Analytical

What's on Jonathan Koren's mind?

Based on our findings, Jonathan Koren is ...

52% Left Brained

48% Right Brained

Jonathan Koren's Estimated Salary Range

About Jonathan Koren's Current Company

Mozilla

Frequently Asked Questions about Jonathan Koren

What company does Jonathan Koren work for?

Jonathan Koren works for Mozilla

What is Jonathan Koren's role at Mozilla?

Jonathan Koren is Senior Staff Research Engineer; Lead Machine Learning

What is Jonathan Koren's personal email address?

Jonathan Koren's personal email address is jo****[email protected]

What is Jonathan Koren's business email address?

Jonathan Koren's business email address is j****[email protected]

What is Jonathan Koren's Phone Number?

Jonathan Koren's phone (213) ***-*416

What industry does Jonathan Koren work in?

Jonathan Koren works in the Internet industry.

About Jonathan Koren

💼 Past Experience

Jonathan Koren's Education:Jonathan Koren has a B.S. in Computer Science from Northwestern University, and a M.S. in Mathematical Sciences from the University of Illinois at Urbana-Champaign.

🎓 Education

Jonathan Koren's Educational Background and Work readiness:Jonathan Koren has a Ph.D. in Computer Science from the University of California Santa Cruz, and has also held a MS in Computer Science from Southern Illinois University Carbondale. Koren has also worked as a Research Scientist at Google and has experience in developing mobile applications.

💡 Technical & Interpersonal Skills

Jonathan Koren is currently a software engineer at Motorola Mobility from 1999 to 2001 (2 years) in Arlington Heights, Illinois.Jonathan Koren has a long history of research and development experience in the field of machine learning and data products. He began his research career at Microsoft Research, where he worked on a variety of machine learning projects, including researching big data and data analytics, data product leadership, and natural language processing.Jonathan Koren is also a research intern at Microsoft from June 2008 to September 2008 (4 months) in Redmond, Washington. Microsoft Research, Machine Learning and Applied Statistics group.Jonathan Koren most recently worked at Yahoo! where he worked on a variety of machine learning and data products. He was responsible for expanding the knowledge base through either feature modeling or by importing and aligning additional external data sources.Jonathan Koren is also a senior software engineer at Ozlo Inc. from November 2015 to September 2017 (1 year 11 months) in Palo Alto, CA.Jonathan Koren has experience in search relevance, search engine optimization, and sponsored content optimization. In his previous posts, Jonathan has stated his interest in using machine learning to make search results more personalized, flexible, and relevant to the user, which he says is a major benefit of using a machine learning platform.At Facebook, Jonathan was responsible for the development and management of the search relevance infrastructure, as well as expansions of the data collection strategies, metrics, and models that were used to optimize the user experience for LinkedIn Day.