Summary
Yelena Menyaylenko is a Machine Learning leader with 11 years of cross-disciplinary experience spanning deep learning, control systems, mechatronics and software engineering, currently managing ML efforts for audio at Apple in Cupertino. She has progressed from control-systems R&D and satellite hardware integration to designing large-scale deep learning pipelines, datasets, benchmarks and data dashboards that ship product features. Her background in physics-based modeling and simulation (Python/C++) informs a pragmatic approach to ML engineering and sensor-driven problems, enabling tighter integration between models and hardware. Notably, she led the launch of the Sky Muster project and mentors students on technology careers, reflecting a penchant for translating complex research into tangible outcomes and nurturing talent.
11 years of coding experience
12 years of employment as a software developer
Bioengineering, Bioengineering at De Anza College
University of California, San Diego
High School Diploma, High School Diploma at Monta Vista
English, Russian, French, Hebrew