Vidhya Murali
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Engineering Team Lead Manager at DeepMind
My domain expertise is in machine learning and artificial intelligence. I have 7+ years of experience working on recommendation systems and personalization. I enjoy translating research to real world applications that are impactful. At Spotify, I build and lead machine learning teams to solve interesting and challenging problems that enhance user experiences with personalization. Currently focussed on powering unique and differentiating experiences on Spotify Voice. If you are interested in opportunities at Spotify, do check out: https://www.spotify.com/us/jobs/ Keywords: Machine Learning, Recommender Systems, Personalization, Collaborative Filtering, Embedding models, Deep Learning, Contextual Bandits, Reinforcement Learning, Artificial Intelligence, Engineering Management
University of Wisconsin-Madison
Master's degree, Computer Science
January 1, 2008 – January 1, 2010
Birla Institute of Technology and Science, Pilani
Bachelor’s Degree, Computer Science
January 1, 2003 – January 1, 2007
DeepMind
Research Engineering Team Lead Manager
April 1, 2021 – Present
Spotify
ML Engineering Manager
November 1, 2017 – April 1, 2021
Spotify
Staff Machine Learning Engineer
February 1, 2014 – November 1, 2017
Microsoft
Software Engineer
August 1, 2012 – December 1, 2013
San Francisco Bay Area
Oracle
Member of Technical Staff
July 1, 2011 – July 1, 2012
San Francisco Bay Area
Yahoo
Software Engineer
July 1, 2007 – July 1, 2008
Cultural Fit Analysis
The candidate has a diverse background across multiple prominent tech companies (Yahoo, Oracle, Microsoft, Spotify, DeepMind) and has worked on various product types (social networking, database systems, anti-spam, ML platforms). This breadth of experience suggests adaptability and an ability to thrive in different organizational cultures. Their focus on ML and data-intensive systems aligns well with a Big Data Engineer role, indicating a strong interest in data-driven problem-solving.
Soft Skills & Operational Fit
The candidate's experience at Spotify and DeepMind, particularly in leadership roles, suggests strong collaboration, problem-solving, and project management skills. Their work on personalization and recommendation systems indicates an ability to innovate and deliver user-centric solutions. The descriptions highlight ownership and coordination, pointing to good operational fit.