About Woven by Toyota
Innovating mobility for a smarter future
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...
Machine Learning Intern • Entry-Level
Skills & Technologies
Overview
Woven by Toyota is seeking a Machine Learning Intern to contribute to innovative systems in the Autolabeling team. You'll work on projects involving optimization and 3D geometric computer vision. This role is ideal for those eager to make an impact in the automotive technology space.
Job Description
Who you are
You are an aspiring Machine Learning professional with a strong interest in developing innovative systems. You have a foundational understanding of machine learning principles and are eager to apply your knowledge in a practical setting. Your enthusiasm for tackling complex problems drives you to seek out opportunities for growth and learning in the field of autonomous driving and intelligent systems.
You possess a basic understanding of computer vision techniques and are excited about the potential of these technologies to transform mobility. You are a collaborative team player, ready to work closely with experienced ML Engineers and contribute to meaningful projects. Your curiosity and willingness to learn will help you thrive in this dynamic environment.
Desirable
Experience with programming languages such as Python or similar is a plus, as is familiarity with machine learning frameworks. You may have completed relevant coursework or projects that demonstrate your skills and interest in the field. A proactive attitude and a desire to innovate will set you apart as a candidate.
What you'll do
As a Machine Learning Intern at Woven by Toyota, you will have the opportunity to work on exciting challenges related to autolabeling and data generation. You will collaborate with a Senior ML Engineer to develop systems that automatically generate high-quality, consistent, and diverse autolabeled data. Your contributions will play a crucial role in advancing our data-driven solutions and enhancing the capabilities of autonomous driving technologies.
You will engage in hands-on projects that involve optimization and 3D geometric computer vision, allowing you to apply your theoretical knowledge in a practical context. You will participate in team discussions, contribute ideas, and learn from experienced professionals in the field. This internship will provide you with valuable insights into the automotive technology landscape and the role of machine learning in shaping the future of mobility.
What we offer
Woven by Toyota offers a unique opportunity to be part of a transformative journey in the automotive industry. You will work in a collaborative environment that encourages innovation and creativity. As an intern, you will gain exposure to cutting-edge technologies and methodologies in machine learning and computer vision.
We provide mentorship from experienced professionals who are dedicated to helping you grow and succeed in your career. You will have the chance to make a meaningful impact on projects that are at the forefront of automotive technology. Join us and be part of a team that is revolutionizing the way we see and interact with the world.
We encourage you to apply even if your experience doesn't match every requirement. Your passion for learning and contributing to innovative solutions is what matters most.
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