Machine Learning Engineer intern working with Toyota on estimation algorithms for vehicle control. Collaborating with experts in AI and robotics for human-centered automated driving solutions.
Responsibilities
Prototype control/estimation algorithms in Python and/or C++ following software development best practices.
Perform literature review across machine learning and control.
Apply ML and/or data science to estimation and control, for evaluating robustness or algorithm development.
Demonstrate algorithm impact in simulation or ideally on vehicle.
Quantify impact on performance through development of metrics and/or test cases.
Bring an Innovation mindset, producing patent(s) and/or research paper(s).
Requirements
Currently pursuing a Masters or PhD degree with focus in Controls, Estimation, Robotics, Machine Learning, or related topics.
Proficiency in Python for prototype development and PyTorch or similar for model training.
Solid understanding of dynamics, control, convex optimization, and machine learning.
Experience with data libraries including jupyter, numpy, scipy, pandas, scikit‑learn, matplotlib, etc.
Ability to organize information and ideas into clear technical reports/presentations.
Passionate about making driving safer.
Benefits
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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