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Jay Baxter

BayesDB Lead Developer (Research Engineer and M.Eng. Student) @ Probabilistic Computation Project at MIT CSAIL

Machine Learning @ Twitter Cortex

San Francisco, California

Ranked #673 out of 13,460 for BayesDB Lead Developer (Research Engineer and M.Eng. Student) in California

Section title

Jay Baxter's Work Experience

Probabilistic Computation Project at MIT CSAIL

BayesDB Lead Developer (Research Engineer and M.Eng. Student)

January 2013 to August 2014

Diffeo

Software Engineering Intern (Machine Learning)

June 2013 to September 2013

Cambridge, MA

Google

Software Engineering Intern

June 2011 to August 2011

Jay Baxter's Education

Massachusetts Institute of Technology

Master of Engineering (MEng), Electrical Engineering and Computer Science, 5.0/5.0

2013 to 2014

Massachusetts Institute of Technology

Bachelor of Science (BS), Computer Science and Engineering, 4.8/5.0

2009 to 2013

Menlo School

High School

2005 to 2009

Jay Baxter's Professional Skills Radar Chart

Based on our findings, Jay Baxter is ...

Individualistic
Persistent
Cause-and-effect oriented

What's on Jay Baxter's mind?

Based on our findings, Jay Baxter is ...

52% Left Brained
48% Right Brained

Jay Baxter's Estimated Salary Range

About Jay Baxter's Current Company

Probabilistic Computation Project at MIT CSAIL

Lead developer of BayesDB (http://probcomp.csail.mit.edu/bayesdb/), a Bayesian database table that lets users query the probable implications of their tabular data as easily as an SQL database lets them query the data itself.

Frequently Asked Questions about Jay Baxter

What company does Jay Baxter work for?

Jay Baxter works for Probabilistic Computation Project at MIT CSAIL


What is Jay Baxter's role at Probabilistic Computation Project at MIT CSAIL?

Jay Baxter is BayesDB Lead Developer (Research Engineer and M.Eng. Student)


What is Jay Baxter's personal email address?

Jay Baxter's personal email address is ja****[email protected]


What is Jay Baxter's business email address?

Jay Baxter's business email addresses are j*****@baxterweb.com, and j****[email protected]


What is Jay Baxter's Phone Number?

Jay Baxter's phone (213) ***-*164


What industry does Jay Baxter work in?

Jay Baxter works in the Computer Software industry.


About Jay Baxter

💼 Past Experience

Work Experience:Machine Learning @ Twitter CortexBayesDB Lead Developer (Research Engineer and M.Eng. Student) at Probabilistic Computation Project at MIT CSAIL from January 2013 to August 2014 (1 year 8 months)Software Engineering Intern (Machine Learning) at Diffeo from June 2013 to September 2013 (4 months) in Cambridge, MASoftware Development Intern at Google from June 2011 to August 2011 (3 months)Software Development Intern at Numenta from June 2010 to August 2010 (3 months)Software Engineering at elastic intelligence from July 2009 to August 2009 (2 months)Volunteer Archivist at Computer History Museum from June 2007 to August 2007 (3 months)Senior Machine Learning Engineer at Twitter in San Francisco Bay AreaMachine Learning Engineer at Palantir Technologies from May 2012 to August 2012 (4 months) in Palo Alto, CA


🎓 Education

Jay Baxter's education and work readiness background can be outlined in three areas: engineering, computer science, and engineering. Baxter's MEng from MIT gave him a strong background in electrical engineering and computer science. This experience has helped him develop his work readiness in these areas. Overall, Baxter is highly competent in areas of engineering and computer science, which has helped him achieve numerous successions in his career.


💡 Technical & Interpersonal Skills

Jay Baxter is currently a BayesDB Lead Developer (Research Engineer and M.Eng. Student) at Probabilistic Computation Project at MIT CSAIL from January 2013 to August 2014 (1 year 8 months). Lead developer of BayesDB (http://probcomp.csail.mit.edu/bayesdb/), a Bayesian database table that lets users query the probable implications of their tabular data as easily as an SQL database lets them query the data itself.Software Engineering Intern (Machine Learning) at Diffeo from June 2013 to September 2013 (4 months) in Cambridge, MA. Worked on cross-document entity resolution (coreference) and entity-based search by developing hierarchical probabilistic models and their associated inference algorithms, including structure learning and semi-supervised parameter learning. Software Engineering Intern at Google from June 2011 to August 2011 (3 months). Launched and developed Google Book Alerts, a Google Alerts feature that emails users when new books that match users' queries become available. Software Development Intern at Numenta from June 2010 to August 2010 (3 months). Developed part of NuPIC 2, a tool to use a neocortex-based learning algorithm that automatically finds patterns in data streams in order to make predictions. Software Engineering in Test Intern at Elastic Intelligence from July 2009 to August 2009 (2 months). Performed automated testing on a product that generates human-friendly reports from web service output. Volunteer Archivist at Computer History Museum from June 2007 to August 2007 (3 months). Cataloged computer hardware donations. Senior Machine Learning Engineer at Twitter in San Francisco Bay Area.Senior Machine Learning Engineer at Twitter in San Francisco Bay Area.


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In a nutshell

Jay Baxter's Personality Type

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

Average Tenure

0 year(s), 5 month(s)

Jay Baxter's Willingness to Change Jobs

Unlikely

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