Senior Software Engineer, Machine Learning Platform

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.

Responsibilities:

• Build and scale our PyTorch based machine learning system that powers all deep learning systems on the AV and on the cloud
• Be a champion for model and data code quality and maintain a high standard when shipping new features
• Tackle unsolved problems at the intersection of ML algorithms and infrastructure such as optimizing large-scale distributed training dynamics, multitask learning, and sampling.
• Willingness to learn and dive deep into unknown areas in machine learning, high-performance computing, and cloud infrastructure
• Focus on delivering impact to our customers

Experience:

• Bachelors in Computer Science or a related field
• Experience in building large scale backend systems or working with ML infrastructure
• Experience working with Python and C++
• Detailed understanding of the ML lifecycle: data preprocessing, modeling, training, evaluation, and edge/cloud inference
• Experience working with cloud infrastructure such as AWS, GCP, and Kubernetes
• Basic understanding of ML algorithms
• (Nice to have) Background in high-performance computing (HPC), optimization, or simulation
• (Nice to have) Familiarity with parallel programming libraries such as MPI
• (Nice to have) Have one or more high profile publications in ML