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Marko Stamenovic
ML Lead (I'm hiring)
Professional Background
Marko Stamenovic stands out as a key contributor in the field of audio technology and machine learning, currently serving as the Tech Lead at Bose Hear. In his role at Bose, Marko is on the cutting edge of deep learning solutions, specifically aimed at enhancing the hearing experience in noisy environments. His expertise in auditory technology is complemented by a rich history of working on complex projects that marry both acoustics and machine learning. Prior to his current position, Marko dedicated his talents to Music Information Retrieval tasks for Bose's connected home products. His projects have significantly shaped the user experience in areas such as music recommendation systems, conversational interfaces, and audio scene classification, showcasing his acumen in understanding both technological and user needs.
Marko's career reflects a deep commitment to innovation and excellence in audio technology, making him a valuable asset to any organization he joins. His work not only advances Bose's mission to create world-class audio solutions but also contributes to the broader tech landscape by pushing the boundaries of what is possible in sound and hearing technologies.
Education and Achievements
Marko's educational journey is marked by a strong foundation in engineering and computer science. He began his academic career at Boston University, where he earned his Bachelor’s Degree in Mechanical Engineering with a focus on Acoustics. This early education laid the groundwork for his understanding of sound and its applications in technology.
Continuing his pursuit of knowledge, Marko obtained a Master’s Degree in Electrical and Computer Engineering from the University of Rochester, graduating with an impressive GPA of 3.8. During his time at Rochester, he honed his skills in audio digital signal processing (DSP) and machine learning, two core areas that would define his professional trajectory. Additionally, his experience as a visiting student in Computer Science at New York University provided him with a unique perspective on the convergence of different tech domains.
Beyond traditional academia, Marko has engaged in advanced training through Google's Advanced Solutions Lab, focusing on machine learning and the Google Cloud Platform. This experience allowed him to deepen his understanding of cloud technologies and how they can be leveraged to solve real-world problems in audio and beyond.
Notable Achievements
Throughout his career, Marko has amassed an impressive portfolio of roles that highlight his versatility and expertise. Starting as a Machine Learning Co-op and quickly advancing to a Senior Machine Learning Engineer at Bose, he has played pivotal roles in various projects that bridge acoustic science and cutting-edge technology.
His experience as a Research Fellow at the Recurse Center and a Research Consultant at the University of Rochester underscores his commitment to research and development in machine learning and acoustics. In addition, his work as a Scientist - Acoustics at AECOM emphasizes his foundational skills in the intersection of physical sound properties and data intelligence.
Marko's contributions to the field extend beyond his job titles; they encompass a passion for improving audio technology and enhancing user experiences through refined algorithms and smart systems. As he continues to lead projects at Bose, Marko Stamenovic is undoubtedly a professional to watch in the realms of sound engineering and machine learning.
