Staff Machine Learning Engineer @ Woven

AI & Machine Learning (2)
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AI & Machine Learning (2)

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

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.

MINIMUM QUALIFICATIONS

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 HAVES

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 positions based in Palo Alto, CA, 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.

Staff Machine Learning Engineer

Perception

Woven

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NICE TO HAVES

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