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Director of Machine Learning - LLMs and Generative AI @ Spotify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Leading R&D teams at Spotify that are building LLM and Generative AI experiences.
Stanford University
MS, Electrical Engineering
January 1, 1999 – January 1, 2001
Rice University
BS, Electrical Engineering
January 1, 1995 – January 1, 1999
Spotify
Director of Machine Learning - Generative AI & LLMs
December 1, 2023 – Present
Spotify
Sr. Manager of Machine Learning - Content Understanding
September 1, 2020 – February 1, 2024
ML Engineering Manager - Verily NLP Platform
June 1, 2019 – September 1, 2020
Cambridge, MA
Amazon
Machine Learning Manager - Alexa Science
May 1, 2017 – June 1, 2019
Greater Boston Area
Localytics
Engineering Director
August 1, 2015 – May 1, 2017
Greater Boston Area
Localytics
Engineering Manager
July 1, 2014 – August 1, 2015
Greater Boston Area
Localytics
Senior Software Engineer
September 1, 2013 – June 1, 2014
Greater Boston Area
Active Interview & Ravid
Co-Founder
January 1, 2009 – August 1, 2013
MWM
Director of Products and Development
January 1, 2008 – July 1, 2010
Symantec
Senior Product Marketing Specialist
April 1, 2006 – January 1, 2008
Cisco Systems
DSP / Software Engineer
March 1, 2003 – April 1, 2006
Signalworks, Inc.
Signal Processing Engineer
March 1, 2002 – April 1, 2003
AuSIM, Inc.
Software Engineer
February 1, 2001 – October 1, 2001
Mountain View, California, United States · On-site
Gigabeat
Machine Learning Researcher
January 1, 1999 – December 1, 2000
Palo Alto, California, United States · On-site
Texas Instruments
Signal Processing Engineer
January 1, 1998 – October 1, 1999
Houston, Texas, United States · On-site
Unconscious Bias
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse career path spanning large tech companies (Spotify, Google, Amazon, Cisco, Symantec, Texas Instruments), startups (Localytics, Active Interview & Ravid, MWM, Signalworks, AuSIM, Gigabeat), and various roles from individual contributor to Director. This breadth of experience suggests adaptability and a strong cultural fit for dynamic environments. The progression into leadership roles focused on cutting-edge ML (Generative AI, LLMs) aligns well with innovative cultures. The long tenure at Localytics, progressing from Senior Software Engineer to Engineering Director, indicates loyalty and growth within an organization. The target role of ML Engineer aligns well with the candidate's recent and historical ML focus.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team management, and strategic alignment skills through their various director and manager roles. Experience in defining roadmaps, collaborating with leadership, and managing OKRs indicates a structured and results-oriented approach. The co-founder experience also suggests entrepreneurial drive and product development acumen. However, without psychometric test results, a full assessment of logical reasoning, work attitude, stress handling, and team collaboration cannot be made.