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Machine Learning Engineer at Diffbot.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Alberta
Grad School, Computer Science
January 1, 2011 – January 1, 2014
University of Alberta
Bachelor’s Degree, Computer Science
January 1, 2006 – January 1, 2010
Diffbot
Machine Learning Engineer
March 1, 2017 – Present
San Francisco Bay Area
Mitre Media
Data Scientist
January 1, 2014 – February 1, 2017
University of Alberta
Research And Teaching Assistant
September 1, 2011 – December 1, 2013
Greater Edmonton Metropolitan Area
University of Alberta
Research Assistant
May 1, 2010 – September 1, 2010
Greater Edmonton Metropolitan Area
Codespin Inc
Software Developer
May 1, 2009 – January 1, 2012
Greater Edmonton Metropolitan Area
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, software development, and data science/machine learning. While the target role is 'Backend Engineer', a significant portion of recent experience is in ML/Data Science, which might require a shift in focus. The lack of detailed project descriptions makes it hard to assess alignment with typical backend engineering team cultures or specific company values. The breadth of experience suggests adaptability, but the direct cultural fit for a pure backend role is not explicitly evident.
Soft Skills & Operational Fit
The candidate's resume indicates a background in research and teaching, suggesting strong analytical, problem-solving, and potentially communication skills. Experience in diverse roles (ML Engineer, Data Scientist, Software Developer) suggests adaptability. However, without specific project details or behavioral assessments, it's difficult to fully assess operational fit and soft skills.