Senior Machine Learning Scientist at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Københavns Universitet - University of Copenhagen
PhD, Astrophysics
January 1, 2005 – January 1, 2008
Caltech
MSc., Physics
January 1, 2001 – January 1, 2004
Háskóli Íslands
BSc., Mathematics, Physics
January 1, 1998 – January 1, 2001
Amazon
Senior Machine Learning Scientist
April 1, 2020 – Present
Amazon
Machine Learning Scientist
November 1, 2016 – April 1, 2020
Amazon
Software Development Engineer
May 1, 2016 – November 1, 2016
Weatherford
Senior Software Developer
July 1, 2014 – May 1, 2016
Greater Edinburgh Area
Edlund A/S
Software developer
February 1, 2012 – June 1, 2014
Copenhagen Metropolitan Area
Dark Cosmology Centre, Niels Bohr Institute, University of Copenhagen
Marie Curie Fellow (Postdoctoral Fellow)
October 1, 2010 – October 1, 2011
Princeton University
Marie Curie Fellow (Postdoctoral Fellow)
October 1, 2008 – October 1, 2010
Princeton, New Jersey, USA
Dark Cosmology Centre - NBI - University of Copenhagen
Postdoctoral Fellow
February 1, 2008 – October 1, 2008
California Institute of Technology
Teaching Assistant
January 1, 2002 – June 1, 2004
deCODE genetics
Summer Research with the Data Mining Group.
June 1, 2001 – September 1, 2001
Algorithms: Design and Analysis, Part 2
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
R Programming
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory, moving from fundamental scientific research to applied software development and then machine learning at a large tech company like Amazon, suggests a strong drive for continuous learning and a willingness to pivot into new domains. This adaptability and intellectual curiosity could be a good cultural fit for dynamic environments. The diverse experience across different industries (academia, oil & gas, finance, e-commerce) indicates a broad perspective. However, the target role is 'Backend Engineer', and while there is prior software development experience, the recent focus on Machine Learning might require a re-alignment of current interests and skills to a pure backend engineering role. The lack of detailed project descriptions makes it difficult to fully gauge alignment with specific team cultures or methodologies.
Soft Skills & Operational Fit
The candidate's resume highlights 'Leadership' and 'Teamwork' across multiple roles, including academic and industry positions. This suggests a collaborative mindset and experience in guiding projects or teams. The transition from academic research to software development and then machine learning at Amazon indicates a strong capacity for learning and adapting to new operational environments. However, without specific project details or behavioral assessment data, the depth of these soft skills and their operational fit cannot be fully assessed.