Senior Applied Scientist at Amazon Prime Video Sports
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The Hebrew University of Jerusalem
Doctor of Philosophy (Ph.D.), Computer Vision and Machine Learning
January 1, 2010 – January 1, 2014
The Hebrew University of Jerusalem
Master of Science (M.Sc.), Brain Research: Computation and Information Processing
January 1, 2007 – January 1, 2010
The Hebrew University of Jerusalem
Bachelor of Science (B.Sc.), Computational Biology and Computer Science
January 1, 2004 – January 1, 2007
Amazon
Senior Applied Scientist at Amazon Prime Video Sports
July 1, 2022 – Present
Tel Aviv, Israel · Hybrid
Senior Software Engineer and Research Lead
January 1, 2019 – July 1, 2022
Machine Learning Software Engineer
September 1, 2016 – January 1, 2019
IBM Research
Machine Learning Researcher
July 1, 2014 – August 1, 2016
BlueFrog Algorithmic Solutions
Algorithms and Machine Learning Consulting
January 1, 2013 – January 1, 2014
The Hebrew University of Jerusalem
Lecturer and Teaching Assistant
January 1, 2009 – January 1, 2014
Intel Corporation
FW Engineer (as student)
January 1, 2007 – January 1, 2009
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior ML Engineer role, having worked in research and product development at major tech companies like Google and Amazon. Their experience in leading projects, mentoring, and teaching indicates a proactive, collaborative, and knowledge-sharing mindset. The diverse experience across research (IBM Research, academia) and product development (Google, Amazon) suggests adaptability and a broad perspective on ML applications.
Soft Skills & Operational Fit
The candidate's experience at Google as a 'Technical lead of cross-team ML and NLP projects' and 'Mentored employees' suggests strong leadership, collaboration, and communication skills. Their role in 'identifying high-value AI solutions' indicates strategic thinking and problem-solving abilities. The teaching experience further supports strong communication and knowledge transfer capabilities.