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Experienced Machine Learning Researcher with a demonstrated history of working in the research industry. Strong research professional with a PhD focused in Computer Science from Technion - Israel Institute of Technology.
Technion - Israel Institute of Technology
Doctor of Philosophy (PhD), Computer Science
January 1, 2010 – January 1, 2015
Technion - Israel Institute of Technology
M.A., Computer Science
January 1, 2008 – January 1, 2010
Technion - Israel Institute of Technology
B.Sc., Computer science
January 1, 2003 – January 1, 2007
Earth Dynamics AI
Scientist Building the Future of Applied AI
January 1, 2025 – Present
Portland, Oregon Metropolitan Area
Intel Labs
Staff Research Scientist in AI
March 1, 2022 – November 1, 2024
United States
Intel Labs
Senior Research Scientist in Machine Learning
March 1, 2018 – February 1, 2022
United States
Intel Labs
Research Scientist in Machine Learning
June 1, 2015 – February 1, 2018
United States
GE Healthcare
Research Intern in Image Processing
July 1, 2012 – October 1, 2012
Israel
Technion - Israel Institute of Technology
Lecturer and Teaching Assistant
May 1, 2008 – September 1, 2014
Israel
IBM
Research Engineer
February 1, 2006 – May 1, 2008
Haifa
Intel Corporation
Software Developer
February 1, 2004 – February 1, 2006
Haifa
AI Everywhere - Generative AI Lead
Intel
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and academic collaboration, primarily within Intel Labs. While this demonstrates deep technical expertise, the project diversity outside of this specific research context is limited. The target role of 'ML Engineer' typically requires a balance of research acumen and practical engineering for deployment and scalability. The candidate's experience aligns well with a research-focused ML Engineer role, but might require adaptation for a purely product-driven engineering environment. The breadth of skills is strong within AI/ML, but less diverse in terms of broader software engineering or cloud platforms, which could be a factor depending on the specific ML Engineer role requirements.
Soft Skills & Operational Fit
The candidate's experience in leading teams, coordinating stakeholders, coaching students, and teaching courses suggests strong leadership, collaboration, and communication skills. Their extensive research background indicates a problem-solving mindset and ability to work on complex, novel challenges. The long tenure at Intel Labs (over 9 years) also suggests stability and commitment.