Ted Sandler
ML EngineerPrincipal Applied Scientist
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal Applied Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Pennsylvania
PhD, Computer Science and Machine Learning
January 1, 2004 – January 1, 2009
University of Pennsylvania
MS, Computer Science
N/A – Present
Tufts University
BA, Philosophy
N/A – Present
Amazon
Principal Applied Scientist
August 1, 2024 – Present
Greater Seattle Area · On-site
PowerYou AI
AI / ML Advisor
May 1, 2023 – August 1, 2024
Remote
Groundlight AI
Senior Applied Scientist
September 1, 2021 – August 1, 2024
Seattle, Washington, United States · On-site
Amazon.com
Sr Machine Learning Scientist - Personalization and Ranking
October 1, 2014 – August 1, 2021
Amazon.com
Machine Learning Scientist
July 1, 2013 – October 1, 2014
Amazon.com
Software Development Engineer
October 1, 2009 – July 1, 2013
Northern Light Technology
Software Engineer
January 1, 1999 – January 1, 2002
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an ML Engineer role, particularly in a large, innovative tech company, given their extensive tenure and progression at Amazon. Their experience spans core ML development, applied science, and advisory roles in AI/ML, indicating a broad interest and adaptability within the field. The PhD and continuous engagement with cutting-edge areas like LLMs suggest a commitment to learning and innovation. The diversity of roles from SDE to Principal Applied Scientist shows a versatile skill set.
Soft Skills & Operational Fit
The candidate's extensive experience at Amazon in various ML roles, including leading teams, suggests strong operational fit and the ability to navigate complex technical environments. The advisory role at an early-stage startup indicates an entrepreneurial mindset and adaptability. While no specific soft skill assessments are provided, the career progression implies leadership, problem-solving, and collaboration skills.