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Sr. Manager, Machine Learning at Toyota Connected
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sr. Manager for the Toyota Connected Labs AI/ML team. Building models and writing Rust and Python to support next-gen cockpit experiences for Toyota and Lexus drivers. Masters in Electrical & Computer Engineering with an emphasis in ML, statistics, and signal processing. Passionate about leveraging data to build products and services that make a positive impact on our world.
Baylor University
Bachelor of Science (B.S.), Electrical & Computer Engineering
N/A – Present
Baylor University
Master of Science (M.S.), Electrical & Computer Engineering
N/A – Present
Toyota Connected North America
Sr. Manager, Machine Learning
July 1, 2025 – Present
Toyota Connected North America
Managing Engineer, Machine Learning
March 1, 2022 – July 1, 2025
Toyota Connected North America
Senior Machine Learning Engineer
June 1, 2021 – March 1, 2022
Qeexo
Principal Machine Learning Engineer
February 1, 2021 – June 1, 2021
Qeexo
Senior Machine Learning Engineer
January 1, 2017 – February 1, 2021
Qeexo
Machine Learning Engineer
June 1, 2016 – December 1, 2016
Cultural Fit Analysis
The candidate has a strong background in Machine Learning, which is a highly technical and innovative field. Their experience in managing teams and projects aligns with a collaborative and results-oriented culture. However, the target role is 'Data Analyst', which is a significant pivot from their extensive ML engineering and management background. This could indicate a mismatch in expectations or a desire for a different type of challenge. The lack of explicit data analysis projects or skills listed makes it difficult to assess direct cultural fit for a pure data analyst role.
Soft Skills & Operational Fit
The candidate's career progression from ML Engineer to Sr. Manager at Toyota Connected and Principal ML Engineer at Qeexo suggests strong leadership, project management, and problem-solving skills. Experience with product development (EarSense) indicates an ability to drive initiatives from conception to commercialization.