Help & Supportcareers@gravityer.com
Senior ML Software Engineer at Roku
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Group on Artificial Intelligence
Predoctoral Student Fellow, Distributed Machine Learning
January 1, 2010 – January 1, 2013
Doctoral School of University of Szeged
Doctor of Philosophy (PhD), Computer Science
January 1, 2007 – January 1, 2010
Roku Inc.
Senior ML Software Engineer
May 1, 2021 – Present
Austin, Texas, United States
Software Engineer, Machine Learning & AI
October 1, 2016 – May 1, 2021
Mountain View, California
Yahoo
Research Engineer
September 1, 2014 – September 1, 2016
Sunnyvale, CA
Evernote
Machine Learning Software Engineer
October 1, 2013 – August 1, 2014
Redwood City, CA
University of Szeged
Researcher
December 1, 2008 – September 1, 2013
Szeged, Hungary
Cultural Fit Analysis
The candidate has a strong background in research and development within large tech companies (Google, Yahoo, Roku), indicating a fit for innovation-driven and technically challenging environments. The focus on Machine Learning and AI aligns with companies pushing technological boundaries. However, the resume does not provide details on project diversity or team collaboration styles, making a deeper cultural fit assessment challenging. The target role is 'Backend Engineer', while the experience is heavily skewed towards ML Software Engineer and Research Engineer, which might indicate a slight misalignment if the backend role is not ML-focused.
Soft Skills & Operational Fit
The candidate's resume highlights roles in research and development, suggesting strong analytical and problem-solving skills. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided experience descriptions. Operational fit for a Backend Engineer role is strong given the ML/AI background, which often involves robust backend systems, but direct backend engineering experience outside of ML contexts is not explicitly stated.