Machine Learning Intern, Autolabeling

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

TEAM

Are you ready to make a significant impact at the forefront of automotive technology? At the Autolabeling team at Woven by Toyota, we tackle a wide range of exciting challenges, from optimization and 3D geometric computer vision to pioneering advancements in machine learning (ML) for perception autolabeling. Our mission is to automatically generate vast quantities of high-quality, consistent, and diverse autolabeled data, driving the evolution of our data-driven solutions.

Who We Are Looking For

We're on the lookout for a passionate and talented Machine Learning Intern who is eager to contribute to developing our innovative systems. As an intern, you'll have the opportunity to collaborate closely with one of our Senior ML Engineers, embarking on a future-focused project. Your role will involve integrating cutting-edge ML architectures and techniques into our Autolabeling stack development, pushing the boundaries of our technology and enhancing our autolabeling capabilities.

This internship offers you the opportunity to work at the intersection of innovation and impact, where your contributions will play a crucial role in shaping the future of autonomous driving and intelligent systems. If you're driven by the desire to solve complex problems and leave a lasting mark on the industry, we invite you to join our team and become part of a group that's revolutionizing the way we see and interact with the world. Apply now and help us build the future of mobility!

RESPONSIBILITIES

●      Conduct research to integrate state-of-the-art ML components into our auto-labeling pipeline, enhancing its efficiency and accuracy.

●      Prepare and manage datasets to support data-driven model development and validation.

●      Engage in daily collaboration with a Senior ML Engineer, receiving mentorship and guidance while working on project tasks.

●      Gain hands-on experience with production-level data and real-world applications, enhancing your practical skills in a professional setting.

●      Summarize key findings and insights in a comprehensive final report, highlighting project outcomes and providing actionable recommendations.

MINIMUM QUALIFICATIONS

●      Currently pursuing a Masters or a PhD degree in Computer Science, Computer Engineering, Computer Systems, Data Science, or similar discipline

●      Proven ability to develop ML models for image, video, 3D or 4D data processing and/or generation (must be supported by school projects and/or publications)

●      Strong programming skills in Python and ML development with PyTorch

●      Publications in top tier CV, ML or robotics conferences or journals

●      Good written and verbal communication skills

●      Passionate about self driving car technology and its potential for humanity

NICE TO HAVES (optional)

●      Experience developing ML models for autonomous driving or ADAS

●      Experience developing Perception algorithms for autonomous driving or ADAS

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.