Michael Bruckner
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal Applied Scientist at Amazon
I'm fascinated by solving problems through Machine Learning! In the last 20 years, I worked on a variety of ML-related applications including spam & abuse detection, black-box optimization, active learning, controlling explore-exploit using multi-armed bandits, personalized recommendation, time-series analysis, probabilistic programming, and causal inference with focus on effect estimation of continuous treatments. What thrills me is not just deriving ML-based algorithms and implementing prototypes, but building real end-to-end systems including science work, software engineering, team & people management, and interact with customers.
University of Potsdam
PhD, Computer Science
January 1, 2008 – January 1, 2012
Humboldt-Universität zu Berlin
Computer Science
January 1, 2005 – January 1, 2006
QUT (Queensland University of Technology)
Semester Abroad, Machine Learning
January 1, 2004 – January 1, 2004
Technische Universität Chemnitz
Diplom (MSc), Computer Science
January 1, 2000 – January 1, 2005
Amazon
Principal Applied Scientist
October 1, 2021 – Present
Amazon
Senior Machine Learning Scientist
November 1, 2018 – October 1, 2021
Amazon
Manager Machine Learning
December 1, 2015 – October 1, 2018
Amazon
Machine Learning Scientist
July 1, 2013 – December 1, 2015
SoundCloud
Machine Learning Engineer
December 1, 2011 – June 1, 2013
Berlin Metropolitan Area
University of Potsdam
Research Associate
October 1, 2008 – November 1, 2011
Potsdam, Brandenburg, Germany
Max Planck Institute for Informatics
Research Associate
December 1, 2006 – September 1, 2008
Saarbrücken, Germany
Humboldt-Universität zu Berlin
Research Associate
July 1, 2005 – November 1, 2006
Berlin Metropolitan Area
Strato AG
Machine Learning Engineer
July 1, 2005 – November 1, 2011
Berlin, Germany
Cultural Fit Analysis
The candidate's career path shows a strong focus on research and development within large tech companies (Amazon) and academic institutions. While their technical skills are exceptional, the target role of 'Data Analyst' might be a step down from their 'Principal Applied Scientist' and 'Manager Machine Learning' roles, potentially indicating a mismatch in career aspirations or a desire for a different type of challenge. The breadth of their experience across different ML domains (spam filtering, recommendation engines, A/B testing, causal inference) demonstrates adaptability and a willingness to tackle diverse problems. However, the specific 'Data Analyst' role might not fully leverage their principal-level scientific leadership experience.
Soft Skills & Operational Fit
The candidate's extensive experience in leading teams and developing complex systems at Amazon suggests strong problem-solving, project management, and collaboration skills. Their academic background and publication record indicate a strong research-oriented mindset and ability to drive innovation. The descriptions imply a high degree of autonomy and responsibility, fitting a senior operational role.