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Software Engineer, Trust and Safety at Meta | PhD
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer / Researcher in Machine Learning and Artificial Intelligence
KU Leuven
Doctor of Philosophy - PhD, Computer Science
January 1, 2016 – January 1, 2020
KU Leuven
Master’s Degree, Civil Engineering: Computer Science
January 1, 2014 – January 1, 2016
KU Leuven
Bachelor's Degree, Computer Science
January 1, 2011 – January 1, 2014
Meta
Senior Software Engineer
February 1, 2023 – Present
London, England, United Kingdom
Meta
Software Engineer
October 1, 2020 – February 1, 2023
London, England, United Kingdom
Software Engineer Intern
June 1, 2018 – August 1, 2018
London, United Kingdom
KU Leuven
PhD Researcher in Machine Learning and Artificial Intelligence
September 1, 2016 – October 1, 2020
Leuven
KU Leuven Campus Kulak Kortrijk
Developer
August 1, 2012 – August 1, 2015
Kortrijk
Royal
Waiter
July 1, 2009 – July 1, 2014
Koksijde
Cultural Fit Analysis
The candidate's background is heavily skewed towards Software Engineering and Machine Learning Engineering roles, with a strong academic research focus. While they have extensive experience with ML models, their direct experience as a 'Data Analyst' is not explicitly detailed. The target role of 'Data Analyst' might not fully leverage their senior-level software engineering and ML research expertise, potentially leading to a mismatch in expectations or underutilization of their advanced skills. Their experience is primarily in large tech companies and academia, which suggests a fit for structured, data-driven environments, but the specific 'analyst' aspect is less prominent.
Soft Skills & Operational Fit
The candidate's academic and professional history suggests strong analytical and problem-solving skills. Their PhD research and publications indicate a capacity for independent work, critical thinking, and innovation. Experience at Meta implies adaptability to large-scale, fast-paced environments. However, specific soft skill assessments (e.g., teamwork, communication style) are not available from the provided data.