Level 5, part of Woven Planet, is developing self-driving technology using a machine-learned approach to create safe mobility for everyone. Our goal is to build level 4 autonomous vehicles to improve personal transportation on a global scale. Woven Planet is a software-first subsidiary of Toyota whose vision is to create mobility of people, goods, and information that everyone can enjoy and trust.

As part of Woven Planet, Level 5 has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and the opportunity for near-term product impact and revenue—a combination rarely seen in the AV industry.

Level 5 is looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. We’ve built a diverse and talented group of software and hardware engineers, and each has the opportunity to make a meaningful impact on our self-driving stack.

Our team of more than 300 works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in the Silicon Valley, and explores the AV industry’s most compelling research problems at our office in London. With support from more than 800 Woven Planet colleagues in Tokyo, Level 5’s work to improve the future of mobility spans the globe. And we’re moving fast — in Level 5’s first 18 months, we launched an employee pilot, and are now testing our fourth generation vehicle platform in San Francisco. Learn more at level-5.global.

Responsibilities:

  1. Build and scale our PyTorch based machine learning system that powers all deep learning systems on the AV and on the cloud at Level 5
  2. Be a champion for model and data code quality and maintain a high standard when shipping new features
  3. Tackle unsolved problems at the intersection of ML algorithms and infrastructure such as optimizing large-scale distributed training dynamics, multitask learning, and sampling.
  4. Willingness to learn and dive deep into unknown areas in machine learning, high-performance computing, and cloud infrastructure
  5. 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

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.

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