Machine Learning Engineer • Intern

Who you are

You are currently enrolled in a short-term college, bachelor's, master's, or doctoral program, and you are expected to graduate by March 2028. You have a strong understanding of deep learning fundamentals, including optimization techniques, loss functions, and model architectures, and you are proficient in Python and major machine learning frameworks such as PyTorch and TensorFlow. You have experience in at least one of the following areas: imitation learning, reinforcement learning, or using Transformer/Diffusion for time series models. You are familiar with data processing, analysis, and visualization libraries such as Jupyter, NumPy, SciPy, Pandas, scikit-learn, and Matplotlib. You possess the ability to read and communicate in English at a level sufficient for understanding technical documents.

What you'll do

As a Machine Learning Engineer Intern at Woven by Toyota, you will be part of a team working on significant projects that contribute to the future of mobility. You will collaborate with experienced engineers who will mentor you throughout your internship, helping you to develop your skills and gain practical experience in the field. Your responsibilities will include applying machine learning techniques to real-world problems, participating in the design and implementation of algorithms, and contributing to the development of innovative solutions that enhance mobility. You will also have the opportunity to engage in hands-on projects that challenge your understanding and application of machine learning concepts.

What we offer

Woven by Toyota provides a supportive environment where you can grow and learn from industry experts. You will receive guidance and mentorship from skilled engineers, and you will be involved in projects that have a meaningful impact on society. The internship is designed to be an immersive experience, allowing you to apply your academic knowledge in a practical setting while contributing to the company's mission of redefining mobility. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.