Machine Learning Engineer, Software Engineer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cornell University
Master of Engineering (M.Eng.), Computer Science
January 1, 2012 – January 1, 2013
Chulalongkorn University
Bachelor of Engineering (B.Eng.), Computer Engineering
January 1, 2003 – January 1, 2006
Apple
AI/ML Software Engineer
September 1, 2022 – Present
Greater Tokyo Area · On-site
LINE Corp
Software Engineering Manager
November 1, 2020 – August 1, 2022
LINE Corp
Principal Machine Learning Engineer
July 1, 2019 – October 1, 2020
LINE Corp
Senior Machine Learning Engineer
September 1, 2015 – June 1, 2019
Yahoo
Machine Learning Engineer
July 1, 2014 – August 1, 2015
Yahoo
Software Development Engineer
June 1, 2013 – July 1, 2014
Toshiba Corporation (Japan)
Software Engineer
September 1, 2007 – July 1, 2012
府中市、東京都
Freewill Solutions
Internship
April 1, 2006 – May 1, 2006
Bangkok, Thailand
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
Applied Information Technology Engineer Examination (Japanese Certificate)
IPA, Japan
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working at large, reputable tech companies like Apple, LINE Corp, and Yahoo, which suggests adaptability to different corporate cultures. Their experience spans various domains within ML (recommendation systems, search, fraud detection, news classification) and includes both individual contributor and leadership roles. However, the target role is 'Big Data Engineer' while the recent experience is heavily skewed towards 'AI/ML Software Engineer' and 'Machine Learning Engineer'. While there's overlap with big data technologies, the core focus has been ML application rather than pure big data infrastructure or engineering, which might require some adjustment or upskilling to fully align with a dedicated Big Data Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a Software Engineering Manager and Tech Lead at LINE Corp demonstrates strong leadership, team management, and process improvement skills (e.g., introducing Scrum, standardizing development processes). Their ability to design and review system architecture, coach, and conduct code reviews indicates a strong operational fit for senior roles. The descriptions also highlight proactive problem-solving and tool development to improve efficiency.