Senior/Staff Online Mapping Machine Learning Engineer

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.
AD/ADAS, TEAM
Woven by Toyota is building the safest mobility in the world. A subsidiary of Toyota, Woven by Toyota 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 by Toyota 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.At Woven by Toyota, we work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision.

The AD/ADAS team is looking for an experienced Machine Learning engineer to join us in developing a state-of-the-art online mapping system for autonomous driving. This means instead of utilizing a high definition (HD) map to retrieve road geometry, speed limits, and other necessary information to operate an autonomous vehicle, a real-time machine learning model estimates such necessary information directly from perception data. As a Machine Learning engineer you are responsible to innovate and further push the current state-of-the-art of online map inference while keeping in mind limitations like memory, compute, and sensing. You will work alongside other Machine Learning engineers to train, validate, and deploy new models that dovetail into the rest of the development autonomy stack.  Development is iteratively tested on our fleet of prototype autonomous vehicles as well as close to production vehicles with the goal to deploy such technology to millions of Toyota production vehicles. 

We recognize the unique capabilities each team member brings, and encourage applicants to reach out even if they do not match all of the characteristics described below.
WHO ARE WE LOOKING FOR?

RESPONSIBILITIES

• Contribute to ML model R&D by prototyping, validating and iterating on existing and new model architectures towards an online mapping system.
• Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance.
• Lead multi-person projects and influence the overall AD/ADAS online mapping architecture and technical direction.
• Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews and delivering rigorous reports from ML experiments.
• Work in a high-velocity environment and employ agile development practices.Team player and “get things done” mentality
• Collaborate closely with stakeholders in downstream customer teams to define interfaces and requirements for the Perception stack.
• Closely collaborate with Perception subteams to develop end-to-end solutions.