Marco Gaudesi
ML EngineerResearch Scientist 2 - Microsoft
Microsoft
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 Scientist 2 - Microsoft
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Marco Gaudesi received the B.S. degree from the Università di Palermo, Palermo, Italy, in 2007 and the M.S. degree from the Politecnico di Torino, Torino, Italy, in 2010, both in Computer Engineering. He received the Ph.D. degree in 2015 from the Politecnico di Torino.
Politecnico di Torino
Doctor of Philosophy (Ph.D.), Computer and Control Engineering
January 1, 2012 – January 1, 2015
Politecnico di Torino
Master’s Degree, Computer Engineering
January 1, 2007 – January 1, 2010
Università degli Studi di Palermo
Bachelor’s Degree, Computer Engineering
January 1, 2001 – January 1, 2006
Microsoft
Research Scientist 2
August 1, 2023 – Present
Italy
Nuance Communications
Senior Research Scientist - Deep Learning in Automatic Speech Recognition
May 1, 2017 – July 1, 2023
Turin Area, Italy
Ominee
Data Scientist, Software Developer
January 1, 2016 – April 1, 2017
Torino, Italia
Politecnico di Torino
Postdoctoral Research Fellow
February 1, 2015 – December 1, 2015
Torino, Italia
Politecnico di Torino
Teaching Assistant
March 1, 2012 – December 1, 2015
Torino, Italia
Techedge Group
SAP Consultant
April 1, 2010 – February 1, 2012
Torino, Italia
Cultural Fit Analysis
The candidate has a strong academic and research background, which aligns well with roles requiring innovation and deep technical exploration. The transition from academic research to industry roles at Nuance and Microsoft demonstrates adaptability. However, the project diversity is somewhat concentrated in ASR and evolutionary algorithms, and there are no explicit projects listed to assess broader cultural fit aspects like open-source contributions or community engagement. The early career experience in SAP consulting shows a breadth of IT exposure, but it is not directly relevant to the target ML Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a Research Scientist and Postdoctoral Research Fellow suggests strong analytical, problem-solving, and independent research skills. Teaching assistant roles indicate communication and mentoring abilities. However, specific details on collaboration, project management, or leadership within team settings are limited in the provided data.