Geoff Hulten

VP of Engineering

Lynnwood, Washington, United States22 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

PhD in machine learning with significant research contributions
Managed large-scale machine learning projects at top tech companies
Award-winning author in the field of intelligent systems

Stackforce AI infers this person is a Machine Learning and AI expert with extensive experience in software development and research.

Contact

Skills

Core Skills

Machine LearningAiEngineeringArtificial IntelligenceTeam ManagementSoftware DevelopmentTechnical Program ManagementComputer VisionApplied ResearchInternet Safety

Other Skills

Routing PlatformGraph AlgorithmsQualityDeveloper APIsTeachingAnti-Spam SystemsGame DevelopmentScrumSoftware DesignCloud ComputingAgile MethodologiesC++Big DataC#Scalability

About

Geoff Hulten is a PhD in machine learning and author of Building Intelligent Systems (https://livingmachinelearning.com/book.html). He has managed applied machine learning projects for over a decade, working on dozens of Internet scale machine learning efforts. His research has appeared in top international conferences, received thousands of citations, and won a SIGKDD Test of Time award for influential contributions to the data mining research community that have stood the test of time.

Experience

22 yrs 7 mos

Total Experience

4 yrs 11 mos

Average Tenure

Current Experience

Dropbox

VP of Engineering

Mar 2023 – Mar 2024 · 1 yr · Greater Seattle Area · Remote

Leading engineering, AI, and ML for new initiatives.

EngineeringAIMachine Learning

Google

Engineering Director

Mar 2019 – Mar 2023 · 4 yrs · Greater Seattle Area

I managed engineering for the routing platform in Google Maps, including a ~1B MAU service, graph algorithms, machine learning, quality, and developer APIs.

EngineeringRouting PlatformGraph AlgorithmsMachine LearningQualityDeveloper APIs

University of washington

Lecturer

Sep 2018 – Dec 2020 · 2 yrs 3 mos · Seattle Washington

Lecturer for the machine learning course at the University of Washington's professional masters program (CSEP 546 https://courses.cs.washington.edu/courses/csep546/19au/).

Machine LearningTeaching

Microsoft

6 roles

Principal Machine Learning Scientist Manager

Apr 2017 – Mar 2019 · 1 yr 11 mos

Adding Intelligent Services to Microsoft Office products using machine learning & artificial intelligence.

Machine LearningArtificial Intelligence

Principal Applied Research Manager

Promoted

Jan 2014 – Mar 2017 · 3 yrs 2 mos

Managed a team of applied machine learning researchers who conceptualized and built the intelligence for dozens of Internet scale machine learning systems that have hundreds of millions of interactions with users every day.

Machine LearningTeam Management

Principal Software Development Engineer

Jan 2011 – Jan 2014 · 3 yrs

Developed a system component for Kinect on Xbox One which tracks user facial expressions. Served as technical lead for machine learning and computer vision in a small start-up team within Microsoft.

Software DevelopmentMachine LearningComputer Vision

Principal Program Manager

Jan 2010 – Jan 2011 · 1 yr

Technical Program Manager for a Kinect product that tracks facial expressions and project them onto avatars for communication and socialization.
Managed all aspects of bringing a computer vision algorithm to production, including data acquisition & annotation, quality, algorithm enhancement, and engineering.

Technical Program ManagementComputer Vision

Applied Research Manager

Promoted

Jul 2005 – Jan 2010 · 4 yrs 6 mos

Managed team of applied researchers supporting the Windows Live Safety Platform.
Developed solutions for Internet Abuse problems including spam, phishing, malware, child safety, account abuse, and more.
Conceptualized and proved technologies that shipped in Windows Vista, Window 7, Outlook, Exchange, Hotmail, Windows Live, Bing, and Internet Explorer.

Applied ResearchInternet Safety

Researcher

Jan 2003 – Jan 2005 · 2 yrs

Primary applied researcher on company-wide anti-spam initiative.
Conceptualized and proved numerous machine learning and reputation based anti-spam systems which shipped in Hotmail, Outlook 2003, Exchange Titanium, and Outlook Express.
Worked on small team which developed initial proof of concept of anti-phishing technology which shipped in IE 7.

Machine LearningAnti-Spam Systems