Your team and your responsibilities
We are looking for a highly skilled and motivated candidate to work with our AI Research team at Toyota Motor Europe. The goal is to innovate and accelerate the deployment of cutting-edge machine-learning techniques for driving and car monitoring technologies, in collaboration with Toyota Gazoo Racing Europe.
In this role, you will be responsible for developing a machine-learning model that monitors and analyzes time series data in real-time. You will play a crucial role in collaborating with a multidisciplinary team of researchers and engineers to ensure the integration and usability of the model in the Toyota Gazoo Racing eco-system.
If you are a team player who thrives on responsibility, possesses strong analytical skills, and has a deep understanding of time series and recent deep learning methods (transformer architecture), then you are the right person for this challenge. Experience the excitement of teamwork and be inspired by the passion for motorsport and automotive projects.
Your Profile
Expertise
1. Machine- and Deep-learning, incl. knowledge of classical algorithms
2. Foundation models (knowledge in large vision models, multi-modal models)
3. Time series (knowledge in large real-time data would be a plus)
4. (Optional) Experience in creating, tuning and deploying deep neural networks in practical environments
5. (Optional) Experience in integrating algorithms and testing in real world environments (embedded device and cloud infrastructures)
Hardware/Software
6. Python, (extra) C++, MATLAB/Simulink
7. Proficient in PyTorch (knowledge in PyTorch Forecasting and TensorRT would be a plus)
8. Python libraries: Pandas, Scikit-learn (knowledge in SKTime and Darts would be a plus)
9. Proficient in Linux, Docker, Git
10. Proficient in Linux environment and HPC experience (preferable AWS and Azure)
11. Optional: Experience in embedded architecture, specifically Nvidia Jetson.
Tasks
12. Develop, evaluate and adapt algorithms available in the time series literatureStay updated with the latest advancements in foundation models and time series analysisImplement algorithms and maintain the code repositoryBuild relevant experiment protocols to validate hypothesis and contributionsCollaborate with Toyota Motor Europe and Toyota Gazoo Racing colleagues to train, test and evaluate the model (possible trips between Belgium and Germany)Create and support demonstrations using actual systems, prepare field testsReport findings at regular project meetings and prepare findings for publication
Duration
13. 6 months
Confidentiality
Due to business requirement, not all performed projects can be reflected in the internship report. This issue needs to be discussed with candidate/school in advance.