Machine Learning Engineer, Vehicle Perception (Internship)

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM
At Woven by Toyota, we work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning.

The Perception team is looking for a strong candidate in machine learning to join our 2025 intern program. During this time you will be working alongside our world class machine learning engineers to further push the boundaries of our state-of-the-art perception system for autonomous driving. Your future colleagues are experts in machine learning within the domain of autonomous driving and have developed and deployed numerous deep learning models throughout the entire software stack. This is an excellent opportunity for you to learn from them and make and have an impact on society.

WHAT WE’LL GIVE YOU
The objective of this internship is for you to acquire hands-on industry experience and conduct research within the domain of autonomous driving. This will give you the opportunity to make use of our mature machine learning infrastructure as well as a massive amount of data for you to experiment with and ultimately to improve our system. The focus should be on research and ultimately deploying your work onto our prototype vehicles, which you will have the opportunity to experience on public roads.

Woven by Toyota internships are structured to ensure you grow both technically and professionally. You will get a chance to work on real projects that affect future key results of our mission, while receiving constant feedback, with clear goals. You'll be supported by mentors and managers throughout your internship. At the end of the internship, you will share the results of your project with the team, and others that may be interested in your work.

RESPONSIBILITIES:
• Perception ML model R&D by prototyping, validating and iterating on existing and new model architectures.
• Own development of a new model functionality end-to-end. This means initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance.
• Team player and “get things done” mentality
• Produce a final report and present to the the autonomy team
• Collaborate closely with other Perception team members as well as with upstream and downstream customer teams.

MINIMUM QUALIFICATIONS:
• Currently pursuing a Masters or PhD degree with research focus in: Computer Vision, Robotics, Deep Learning
• Strong programming skills in Python and ML development with PyTorch
• Proven ability to develop ML models
• Extensive experience in deep learning
• Strong communication skills and ability to communicate concepts clearly and precisely
• Passionate about self driving car technology and its potential for humanity

The base pay for this position ranges from $30 - $55per hour.

This internship is a temporary, non-permanent position designed to provide practical experience and learning opportunities. The duration of the internship is 12 weeks. The total compensation offered to an intern will be dependent upon the individual's skills, experience, qualifications, location, and level.

Our Commitment
・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.