Thomas Ahle
ML EngineerAI 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
Head of ML
Machine Learning Scientist at Normal Computing, where I work on auto-formalizing systems for advanced hardware. Previously, I was a Research Scientist at Meta, focusing on scaling language models and ranking algorithms. I completed my PhD in Locality Sensitive Hashing at the University of Copenhagen (2019), where I also co-founded an award-winning NLP startup as Chief of ML. My research interests span algorithms, machine learning, and software engineering, with a particular emphasis on large-scale AI systems and efficient data structures. I have a broad background, having done previous work on algorithmic optimization, natural language processing, and scalable machine learning architectures.
IT-Universitetet i København
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2015 – January 1, 2019
Københavns Universitet - University of Copenhagen
Master of Science (MS), Computer Science
January 1, 2013 – January 1, 2015
University of Oxford
Bachelor of Arts (BA), Computer Science
January 1, 2010 – January 1, 2013
Dansk Ungdoms Fællesråd
Uddannelse, Project Development
January 1, 2010 – January 1, 2010
Birkerød Gymnasium
STX, Physics, Mathematics
January 1, 2006 – January 1, 2009
Ecole Européenne de Bruxelles
International Baccalaureate, English, Physics, Mathematics
January 1, 2003 – January 1, 2005
Normal Computing
Head of ML, Research Scientist
May 1, 2023 – Present
San Francisco, California, United States · Remote
Meta
Research Scientist
March 1, 2020 – May 1, 2023
Menlo Park, California, United States
IT-Universitetet i København
Postdoctoral Researcher
February 1, 2019 – March 1, 2020
SupWiz
Co-founder and Chief Machine Learning Officer
September 1, 2017 – October 1, 2018
Copenhagen Area, Denmark
IT-Universitetet i København
PhD Candidate
February 1, 2015 – February 1, 2019
Sophion Bioscience A/S
Software Engineer
October 1, 2013 – February 1, 2015
Ballerup
Palantir Technologies
Software Engineer Intern
August 1, 2012 – October 1, 2012
Palo Alto
XION
Android and PHP Developer
January 1, 2010 – February 1, 2012
Funch ApS
Consultant
August 1, 2009 – October 1, 2009
Daintel
PHP Developer
June 1, 2006 – August 1, 2006
Wine Doors
Developer
January 1, 2006 – January 1, 2007
PyChess
Owner
January 1, 2006 – January 1, 2015
Cultural Fit Analysis
The candidate's diverse experience, ranging from academic research to startup co-founder and roles at large tech companies like Meta and Palantir, suggests adaptability and a broad perspective. Their involvement in open-source projects (PyChess, Wine Doors) and leadership in developing award-winning software indicates a proactive and innovative spirit. The focus on 'making machine learning efficient both theoretically and practically' aligns well with a high-performance, impact-driven culture. Their extensive educational background and continuous engagement in cutting-edge research also point to a strong learning orientation.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills through their roles at Meta, SupWiz, and PyChess. Their experience in hiring and leading development teams indicates good operational fit. The descriptions suggest a problem-solving mindset and an ability to translate complex research into practical applications. However, without specific psychometric test results, a detailed assessment of stress handling or team collaboration is limited.