Woven Planet Holdings, Inc., headquartered in Tokyo, was founded in March 2018 as a wholly owned subsidiary of Toyota Motor Corporation with the original company name “Toyota Research Institute-Advanced Development, Inc (TRI-AD)”. for the purpose of creating innovative technology and advanced safety systems that will enable Toyota’s vision, “Mobility for All.”
Effective January 2021, it expanded and improved its operations into a holding company, two operating companies and the investment fund.
The holding company is Woven Planet Holdings, Inc. (Woven Planet), the two operating companies under it will be Woven Core, Inc. (Woven Core) which will develop, implement and scale automated driving technologies at its core, and Woven Alpha, Inc. (Woven Alpha), which will explore new business opportunities and incubate innovative projects that go beyond today’s Toyota, such as Woven City, Arene, Automated Mapping Platform, and the investment fund, Woven Capital, L.P. (Woven Capital).
At Woven Planet, we’re on a mission to design a happier planet through secure, connected mobility solutions. Woven Planet’s vision is “Mobility to Love, Safety to Live”. Under this shared goal, our three companies Woven Core, Woven Alpha and Woven Capital are transforming how people live, work, and play through new innovations and investment in autonomous vehicles, smart cities, robotics, and more.
For more information about Woven Planet, please visit: https://www.woven-planet.global/
Arene is a new and exciting vehicle development platform we are building at Woven Planet.
The Software Platform Team’s mission is to simplify vehicle software development and increase developer agility by creating tools and processes which enable novel uses of vehicles without compromising safety.
Arene Insights is a function within Software Platform which builds applications for validation and demonstration of our platform and tool-chain, instrumentation and analysis of key platform metrics and evangelization of the merits of our platform.
The Toyota Woven City is a fully connected ecosystem powered by hydrogen fuel cells to be built at the base of Mt. Fuji in Japan. It is envisioned as a ‘living laboratory’ and ‘ever evolving,’ incorporating various types of cutting edge technologies. At the same time, it is also ‘human-centric,’ that is, it is expected to keep people safe and comfortable.
Our mission is to:
1. Develop services and products for Woven City
2. Expand capabilities through long-term R&D
Our team will develop innovative services that are essential to the city. As a first party developer, we will also build a foundation upon which third party partners can participate. Therefore, we are responsible for not just the applications but also the core software and capabilities.
These teams consist of many highly experienced members with international work experience. We strive to be open-minded as we create a new culture with members from various backgrounds and nationalities. Our global team works closely with the Toyota Motor Corporation and the Toyota Research Institute in North America to develop our technologies and products.
We are seeking talented people to join us as we take on new challenges to create new products and services.
Design and implement ML models and algorithms for real-world autonomous driving problems.
Build workflows for ML / CV applications from the cloud to edge devices.
Lead safe ML model / CV applications and frameworks development according to ISO standards.
Collaborate with other engineers and scientists to develop high-performance frameworks and tools
Design, communicate, and build new features to meet the needs of customers both inside and outside of Woven Planet
3+ years ML experience in training/evaluation of deep learning models and development of robust and scalable ML products or tools
ML experiences which involve ML deployment tools and frameworks for edge devices.
Strong Python skills with strong ability to write high quality, unit-testable code
Strong communication skills, team player and a good listener as well as customer focus with a “Can-Do” attitude
Experience with SCM tools and processes: Git, Continuous Integration, Code Reviews
Strong knowledge with ML application domains such as federated learning, neural architecture search, active learning, domain adaptation, image synthesis, and self-supervised learning.
Experience with cloud tools and processes: AWS, GCP
Experienced to build a MLOps pipeline.
Experience in contributing to or maintaining open-source especially in machine learning software is a plus