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Home›Jobs›Woven by Toyota›Junior ML Platform Engineer, AD/ADAS (Internship)
Woven by Toyota

About Woven by Toyota

Innovating mobility for a smarter future

👥 251-1K📍 Chuo City, Tokyo, Japan

Key Highlights

  • Part of the Woven Planet Group focused on mobility tech
  • Headquartered in Chuo City, Tokyo, Japan
  • Utilizes AI and machine learning for transportation solutions
  • Aims to enhance operations of TRI-AD, Toyota's R&D arm

Woven by Toyota, part of the Woven Planet Group, focuses on advancing mobility technologies and smart city solutions. Based in Chuo City, Tokyo, Japan, Woven Planet aims to enhance the operation of TRI-AD, Toyota's advanced research and development arm. The company is leveraging AI and machine learn...

🎁 Benefits

Employees enjoy competitive salaries, stock options, flexible work arrangements, and generous PTO policies, promoting a healthy work-life balance....

🌟 Culture

Woven by Toyota fosters a culture of innovation and collaboration, emphasizing a commitment to sustainability and the development of smart mobility so...

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Woven by Toyota

Junior ML Platform Engineer, AD/ADAS (Internship)

Woven by Toyota • Tokyo

Posted 9h agoEntry-LevelJuniorMachine learning engineer📍 Tokyo
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Overview

Woven by Toyota is seeking a Junior ML Platform Engineer intern to contribute to advanced driver assistance technologies. You'll work on impactful projects in a collaborative environment. This role is ideal for engineering students with a passion for mobility and technology.

Job Description

Who you are

You are currently pursuing a degree in engineering, with an expected graduation by the end of March 2028. You have a strong interest in machine learning and its applications in mobility, particularly in advanced driver assistance systems (ADAS). You are eager to learn and contribute to meaningful projects that can impact the future of mobility. You possess a collaborative mindset, always looking for ways to assist your colleagues while focusing on delivering effective solutions. You are excited about leveraging cutting-edge technologies to solve real-world problems and enhance the productivity of ML engineers.

Desirable

You have a foundational understanding of machine learning concepts and are keen to apply them in practical scenarios. Experience with programming languages commonly used in ML, such as Python, is a plus. You are open to learning new tools and technologies that can aid in the development of innovative mobility solutions.

What you'll do

As a Junior ML Platform Engineer intern, you will participate in a significant project that aligns with Woven by Toyota's mission to innovate mobility. You will collaborate with experienced engineers who will mentor you throughout your internship, providing guidance and support as you navigate your tasks. Your role will involve assisting in the development and optimization of machine learning models that contribute to AD/ADAS technologies. You will engage in hands-on work, applying theoretical knowledge to practical challenges in the field of mobility.

You will also have the opportunity to participate in team meetings, contributing your ideas and insights while learning from the discussions. Your involvement will help shape the direction of the project and ensure that the solutions developed are effective and aligned with the company's goals. This internship is designed to provide you with a comprehensive understanding of the industry and the skills necessary to succeed in a future career in machine learning and mobility.

What we offer

Woven by Toyota offers a unique internship experience where you can make a tangible impact on the future of mobility. You will work in a collaborative environment that values innovation and creativity. The internship provides a platform for you to learn from industry experts and gain practical experience in machine learning applications. You will be part of a team that is dedicated to transforming mobility and enhancing the well-being of society through technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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