MLOps Engineer integrating data and AI solutions for Globo's digital transformation. Focused on automated workflows and data management in a hybrid work environment.
About the role
- 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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