Summary
Jonathan Becktor is a Senior Machine Learning Engineer and Robotics Technologist with 13 years of experience designing reliable perception systems for robotics, currently splitting roles between FieldAI and NASA’s Jet Propulsion Laboratory. His work focuses on robust ML, uncertainty estimation, computer vision, and statistical methods, grounded in a PhD-level research background from DTU where he developed quantifiable perception approaches for challenging maritime and space environments. He has practical industry experience building ML systems at 3Shape and contributed to CubeSat-based pose estimation research at JPL, blending applied research with production engineering. Based in Denmark, Jonathan brings a pragmatic, research-driven mindset to safety-critical perception problems and a track record of translating uncertainty-aware models from academic prototypes into deployable systems.
12 years of coding experience
5 years of employment as a software developer
High School, High School at Aurehøj Gymnasium
Master’s Degree, Computer Software Engineering, Master’s Degree, Computer Software Engineering at Danmarks Tekniske Universitet
Technical University of Denmark
Master’s Degree, Computer Software Engineering, Master’s Degree, Computer Software Engineering at Keio University
Danish, English, Swedish