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Machine Learning at Motional
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Accomplished machine learning engineer with extensive experience in applied ML (computer vision, speech/language/multimodal, and ranking/recommendation). Proven track record of AI/ML research, prototyping, and productionization. Strong ability to manage senior-level relationships and cross-functional teams.
Massachusetts Institute of Technology
Ph.D., EECS
N/A – Present
Korea University
BS, EE
N/A – Present
Motional
Machine Learning Engineer
May 1, 2023 – Present
Meta
Machine Learning Engineer
April 1, 2020 – January 1, 2023
Seattle, Washington, United States
Axon
Machine Learning Research Manager
February 1, 2017 – April 1, 2020
Greater Seattle Area
Dextro (dextro.co)
Computer VIsion Researcher
July 1, 2015 – February 1, 2017
Greater New York City Area
SRI International
Computer Scientist
January 1, 2009 – January 1, 2015
IBM
Development Engineer
January 1, 2005 – January 1, 2009
MIT
Graduate Teaching Assistant
February 1, 2002 – June 1, 2002
MIT Research Laboratory of Electronics
Research Assistant
January 1, 2002 – January 1, 2005
Cambridge, MA
MIT Information Systems
Athena Consultant
January 1, 2001 – January 1, 2005
Cambridge, MA
MIT Laboratory for Information and Decision Systems
Research Assistant
January 1, 1999 – January 1, 2002
Cambridge, MA
Creator/maintainer of video-caffe project
December 1, 2015 – Present
I created and maintain video-friendly Caffe on Github (https://github.com/chuckcho/video-caffe) --a Caffe with C3D implementation and video reader.
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (MIT, SRI), startups (Dextro), and large tech companies (IBM, Meta, Motional). Their experience includes both individual contributor and leadership roles, and they have worked on projects with significant societal impact (e.g., IED detection, law enforcement AI). The personal project 'video-caffe' demonstrates initiative and a passion for the field. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards Machine Learning Engineering and Research, which might indicate a potential mismatch in day-to-day responsibilities if the Data Analyst role is purely focused on descriptive analytics and reporting. However, their strong analytical and ML background could be an asset if the role involves advanced analytics, predictive modeling, or ML-driven insights.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and management skills from their role at Axon, where they managed a team of Ph.D. ML researchers. Their experience at Meta and Axon suggests an ability to work in fast-paced, product-driven environments. The project descriptions imply problem-solving and innovation capabilities. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.