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Director of Engineering, Speech Foundations, Siri at Apple
• More than 25 years working in the intersection of signal processing, machine learning, and data science with applications to automatic speech recognition, machine translation, and voice AI. • More than 13 years expanding locale/device/feature coverage and improving accuracy across all speech recognition products at Apple, serving 10s of billions of requests per month from 100s of millions of weekly active devices. • More than 10 years managing teams of software/data/ML engineers/scientists/managers.
University of Cambridge
PhD, Engineering
January 1, 2000 – January 1, 2004
Tampere University of Technology 1965-2018
MSc, Engineering
January 1, 1994 – January 1, 1999
Apple
Director of Engineering, Speech Foundations, Siri
October 1, 2025 – Present
On-site
Apple
Director of Engineering, Automatic Speech Recognition, Siri
April 1, 2023 – October 1, 2025
On-site
Apple
Senior Manager, Head of Automatic Speech Recognition, Siri and Language Technologies
February 1, 2022 – April 1, 2023
On-site
Apple
Senior Manager, ASR Modeling and Data, Siri Understanding
September 1, 2020 – February 1, 2022
On-site
Apple
Manager, ASR Modeling and Data, Siri Understanding
March 1, 2020 – September 1, 2020
On-site
Apple
Manager, Siri Speech Data
April 1, 2015 – March 1, 2020
On-site
Apple
Senior Research Scientist, Siri Speech Modeling
October 1, 2011 – April 1, 2015
On-site
BBN Technologies
Scientist
November 1, 2005 – October 1, 2011
Greater Boston Area
IBM Research
Postdoctoral Researcher
October 1, 2004 – October 1, 2005
Greater New York City Area
University of Cambridge
Research Associate
April 1, 2004 – September 1, 2004
Cambridge, United Kingdom
Tampere University of Technology
Teaching Assistant
September 1, 1999 – June 1, 2000
Tampere, Finland
Tampere University of Technology
Researcher
April 1, 1997 – September 1, 2000
Tampere, Finland
Cultural Fit Analysis
The candidate's career trajectory at Apple, moving from Senior Research Scientist to Director of Engineering, demonstrates a strong commitment to long-term growth within a single, high-performance organization. Their work on accessibility features (e.g., making devices easier to use for everyone) and privacy-focused on-device processing aligns with values often sought in tech companies. The breadth of their experience across various speech technologies and product launches suggests adaptability and a willingness to tackle diverse challenges. However, the focus is heavily on speech AI, which might require assessing their adaptability to broader backend engineering challenges if the target role is not specifically in speech/AI backend.
Soft Skills & Operational Fit
The candidate's extensive experience in leading large, multi-disciplinary teams at Apple (software development, data, ML engineers, scientists, and managers) indicates strong leadership, project management, and strategic planning skills. Their role descriptions highlight a focus on accelerating capabilities, delivering high-quality infrastructure, and enabling partner teams, suggesting a collaborative and results-oriented operational fit. The descriptions also imply strong problem-solving and decision-making abilities in complex, high-stakes environments.