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Staff Computer Vision and Machine Learning Research Engineer at Meta Reality Labs
Computer vision and machine learning researcher. Extensive experience in innovating in the applied, product-driven setting with constrained resources. Multiple patent applications. Current work mostly involves image and video generation and translation techniques, predominantly in the deep learning domain. Played a leading role in introducing the innovations directly into Apple products. Previously worked on building highly scalable systems, web applications and services. Pragmatic approach, can-do mentality, great communication and collaboration skills. Specialties: Machine learning, Deep learning, Computer vision, Systems architecture, Scalability.
SGH Warsaw School of Economics
Master's degree, Quantitative methods and Information Systems
January 1, 1999 – January 1, 2004
University of Warsaw
Master's degree, Computer Science
January 1, 1997 – January 1, 2002
Meta
Staff Computer Vision Research Engineer
June 1, 2022 – Present
Burlingame, California, United States
Apple
Staff Computer Vision and Machine Learning Research Engineer (System Intelligence and ML)
October 1, 2019 – May 1, 2022
Apple
Senior Computer Vision and Machine Learning Research Engineer (Camera and Photos)
October 1, 2015 – October 1, 2019
Apple
Senior Software Engineer
September 1, 2010 – October 1, 2015
Polar Rose
Senior Systems Engineer, Technical Lead
April 1, 2007 – September 1, 2010
Warsaw Area, Poland
F. Hoffmann-La Roche Ltd
Senior Specialist
September 1, 2005 – April 1, 2007
Warsaw Area, Poland
SAS Institute
System Development Consultant
August 1, 2003 – August 1, 2005
Warsaw Area, Poland
Softprodukt Sp. z o.o.
Programmer
November 1, 2000 – July 1, 2003
Warsaw Area, Poland
Cultural Fit Analysis
The candidate's diverse experience across different company sizes (startup to large enterprise) and roles (programmer to staff research engineer) suggests adaptability. The focus on cutting-edge research and product development aligns well with an innovative culture. The long-term commitment to companies like Apple indicates a stable and dedicated professional. The early career involvement in financial institutions and research institutes shows a breadth of application domains, which can contribute to a well-rounded perspective. The target role of ML Engineer is a direct match for the candidate's recent experience.
Soft Skills & Operational Fit
The candidate's career progression to Staff-level roles at major tech companies suggests strong problem-solving, leadership, and collaboration skills. Descriptions of leading teams and acting as a technical mentor at Polar Rose further support this. The long tenure at Apple indicates loyalty and ability to contribute significantly over time. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.