Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Woven Planet is building the safest mobility in the world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all.

For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today. Now, we are looking to the next 100 years and to extending that dream for a better life for all people. At Woven Planet we strive to build a safer, happier, more sustainable world.

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. The complementary strengths enable us to optimize safety, advance clean energy, elevate well-being, and improve how people live, work, and play. We envision a human-centered future where world-class technology solutions expand global access to mobility, amplify the capabilities of drivers, and empower humanity to thrive.

About the Organization

Woven Planet is developing automated driving technology using a data-driven approach. We’re building products at autonomy levels 2-4 to drive both near- and long-term improvements to mobility for all. Woven Planet has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and a built in path to product and revenue—a combination rarely seen in the mobility industry. We’re looking for doers and creative problem solvers with a passion for improving lives.

Each member of our diverse and talented group of software and hardware engineers has the opportunity to make a meaningful impact on our technology and products. Our growing team works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in Silicon Valley, and explores the industry’s most compelling research problems at our office in London. With support from our Woven Planet colleagues in Tokyo, our work to improve the future of mobility spans the globe.

About the Team

Woven Planet Level 5 is developing automated driving technology using a data-driven approach. We’re building products at autonomy levels 2-4 to drive both near- and long-term improvements to mobility for all. Woven Planet Level 5 has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and a built in path to product and revenue—a combination rarely seen in the mobility industry. We’re looking for doers and creative problem solvers with a passion for improving lives.

Each member of our diverse and talented group of software and hardware engineers has the opportunity to make a meaningful impact on our technology and products. Our growing team works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in Silicon Valley, and explores the industry’s most compelling research problems at our office in London. With support from our Woven Planet colleagues in Tokyo, our work to improve the future of mobility spans the globe.

In London, our team is working on accelerating our unique data driven approach to autonomous driving by exploring novel CV/ML solutions on petabytes of data collected from AVs and our Fleet vehicles. This enables us to tackle some of the hardest problems in self-driving, building robust perception systems from low-fidelity sensors, to understanding human driving patterns from large volumes of data, to increasing the sophistication of our simulation tests by having access to rare real-world driving situations. By leveraging unprecedented access to driving data, Woven Planet Level 5 is uniquely positioned to develop safe, efficient, and intuitive self-driving systems.

Responsibilities:

• Work on high-impact projects and innovate new solutions to problems in the self-driving space 
• Work closely with machine learning engineers, research and robotics engineers to process data from Woven Planet Level 5’s autonomous vehicles
• Develop cutting-edge perception models and machine learning algorithms

Experience:

• BSc / MSc / PhD or industrial experience in machine learning or related field, for example: Deep Learning, Machine Perception, Reinforcement Learning, Imitation Learning 
• Experience with Python / PyTorch 
• Ability to work in a fast-paced environment and collaborate across teams and disciplines
• Experience building quick prototypes and following data-driven iteration to bring them to production
• Experience solving problems with Machine Learning using state of the art tools
• Experience deploying machine learning models in the cloud to process large amounts of data

OUR COMMITMENT

• We are an equal opportunity employer and value diversity.
• We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.