Senior Machine Learning Engineer - CMU & UCL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine Learning Engineer @ Petuum; MSc Machine Learning from University College London; BS Computer Science (Machine Learning minor) from Carnegie Mellon University; experienced in machine learning, distributed systems, deep learning, reinforcement learning, numerical optimization, and natural language processing.
UCL
Master of Science (M.Sc.), Machine Learning
January 1, 2017 – January 1, 2018
Carnegie Mellon University
Bachelor of Science (B.S.), Computer Science, minor in Machine Learning
January 1, 2013 – January 1, 2017
The Harker School
K-12 High School Diploma
January 1, 2000 – January 1, 2013
MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Research Engineer
December 1, 2024 – Present
Mountain View, California, United States · Hybrid
Petuum, Inc.
Senior Software Engineer V - Machine Learning
January 1, 2021 – December 1, 2024
Petuum, Inc.
Software Engineer IV - Machine Learning
October 1, 2018 – January 1, 2021
Petuum
Machine Learning Engineer Intern
May 1, 2017 – August 1, 2017
Pittsburgh, Pennsylvania · On-site
Sift
Machine Learning Intern
May 1, 2016 – August 1, 2016
San Francisco
Carnegie Mellon University School of Computer Science
Research Assistant (Petuum Project)
May 1, 2015 – August 1, 2015
Pittsburgh, PA
Carnegie Mellon University School of Computer Science
Teaching Assistant (10-601 Machine Learning and 15-150 Functional Programming)
August 1, 2014 – May 1, 2017
Pittsburgh, PA
Versal
Data Science Intern
May 1, 2014 – August 1, 2014
San Francisco, CA
Cultural Fit Analysis
The candidate has a strong academic and professional background heavily focused on Machine Learning and Software Engineering. While they have early experience in Data Science, their recent roles are more aligned with ML Engineering and Research. This might indicate a strong fit for a data-driven culture, but a potential misalignment with a pure Data Analyst role if it primarily involves business intelligence or reporting rather than advanced analytical modeling or ML integration. The diversity of internships and research roles suggests adaptability and a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant suggests strong communication and mentoring skills. Their progression through roles at Petuum, Inc. indicates dedication and growth within an organization. The research background implies strong problem-solving and analytical capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.