Machine Learning Engineer - Perception, Odometry and Localization

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, the vehicle perception odometry and localization team develops algorithms that power production-ready autonomous driving (AD) and advanced driver assistance (ADAS) systems. Our team is responsible for building algorithms that provide cornerstone information about vehicle state and location within a sparse low-fidelity map. We seek to leverage the state-of-the-art from probabilistic inference and machine learning to build novel sensor fusion methods that will expand the capabilities of Toyota vehicles.

Job Description

We are looking for a skilled developer to help build state-of-the-art sensor fusion algorithms to provide odometry and localization information critical to an autonomous driving stack. A strong candidate will have expertise in ML model development and model deployment, along with proficiency in data handling and software engineering practices. Background in modern filtering and estimation techniques to extract desired state from vision, inertial, and GNSS sensors is a plus.

Our vehicle perception odometry and localization team has a collaborative culture. We’re looking for a strong team player with a passion to innovate and deliver a product to the customer.

Responsibilities

• Contribute to ML model R&D by prototyping, validating, and iterating on existing and new model architectures for vehicle state estimation.
• Own end-to-end development of new ML models, from data strategy, initial development, optimization, production platform validation, and fine-tuning based on metrics and on-road performance.
• Write high-quality code, provide thorough code and design document reviews, and deliver rigorous reports from data-driven 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, requirements, and validation.

Minimum Qualifications

Nice to Have

For positions based in Palo Alto, CA, the base pay for this position ranges from $112,000- $184,000 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

Our Commitment

We are an equal opportunity employer and value diversity.

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