Woven Planet
Senior/ Staff Machine Learning Engineer, Perception
Woven Planet, Palo Alto, California, United States, 94306
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.
TEAM
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. WHO ARE WE LOOKING FOR
The Perception team is looking for an experienced Machine Learning engineer to join us in developing a state-of-the-art perception system for autonomous driving. As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately 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.
RESPONSIBILITIES:
Perception ML model R&D by prototyping, validating and iterating on existing and new model architectures. 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 large, multi-person projects and significantly influence the overall Perception 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. EXPERIENCE:
MS, or higher degree, in CS/CE/EE, or equivalent in industry experience. 5+ years of experience with ML frameworks such as PyTorch, Caffee, Tensorflow Extensive experience with machine learning and classification 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization. Strong programming skills in Python or C++ Passionate about self driving car technology and its potential for humanity. Experience in writing production level code in a real-time operating system. Strong communication skills and ability to communicate concepts clearly and precisely Nice to Have
Hands-on experience with building a perception stack for autonomous systems. Experience in runtime optimization for runtime-critical systems on Linux and UNIX-like real-time operating systems. Experience with CUDA or OpenCL Experience with automotive-grade compute platforms Experience with building safety-critical software architectures. For California: The base pay for this position ranges from 161,000 - 264,500 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment
・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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. WHO ARE WE LOOKING FOR
The Perception team is looking for an experienced Machine Learning engineer to join us in developing a state-of-the-art perception system for autonomous driving. As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately 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.
RESPONSIBILITIES:
Perception ML model R&D by prototyping, validating and iterating on existing and new model architectures. 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 large, multi-person projects and significantly influence the overall Perception 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. EXPERIENCE:
MS, or higher degree, in CS/CE/EE, or equivalent in industry experience. 5+ years of experience with ML frameworks such as PyTorch, Caffee, Tensorflow Extensive experience with machine learning and classification 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization. Strong programming skills in Python or C++ Passionate about self driving car technology and its potential for humanity. Experience in writing production level code in a real-time operating system. Strong communication skills and ability to communicate concepts clearly and precisely Nice to Have
Hands-on experience with building a perception stack for autonomous systems. Experience in runtime optimization for runtime-critical systems on Linux and UNIX-like real-time operating systems. Experience with CUDA or OpenCL Experience with automotive-grade compute platforms Experience with building safety-critical software architectures. For California: The base pay for this position ranges from 161,000 - 264,500 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment
・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.