Senior Data Engineering Manager, AD/ADAS

About the role

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 tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. We develop advanced Perception and Planning technologies, and their production software for multiple AD/ADAS systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning. WHO ARE WE LOOKING FOR? The team is seeking an experienced, technical, and hands-on Autonomy Data Manager to grow and lead a talented team composed of Data Scientists, Data Engineers and ML Ops Engineers, working in the Autonomy team to deliver data driven Planning and Perception solutions. You will lead the team to drive the creation and deployment of sophisticated data models and algorithms to resolve business challenges for the Autonomy team. You lead through your expertise in data, deep learning and software engineering. You provide technical guidance to the team by combining modern data approaches with safety standards while also considering cost efficient options.. Furthermore, you are proactive towards handling the processes required for production development and approach them by asking "What can I do for you?" with a "Giver" mindset. RESPONSIBILITIES Define the team's short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives across Perception, Planning, Simulation, Infrastructure, and Tooling. Initiate and influence cross-functional teams towards common data development goals and unified solutions. Support the data roadmap for the program and connect your team’s technical roadmap by focusing on actionable data strategy approaches from data collect strategies, to data curation, labelling , sampling, evaluation, with a goal of leveraging the large amounts of Toyota’s market fleet data to directly improve machine learning model performance across the End-to-End Autonomy Data pipeline. Lead initiative execution by defining efficient processes, mitigating technical risks, and anticipate long-term strategic improvements within the team and across the program. Enable and develop each team member to be more effective through coaching and leading by example providing high-quality algorithms, carefully thought out design reviews, and delivering rigorous initiative reports. Collaborate and provide technical guidance in the design, development, deployment, optimization, and evaluation of state‑of‑the‑art data algorithms, data efficiency and pipelines to enable ML model performance with a focus on iteration speed, scalability and overall cost efficiency. Drive a culture of rigorous statistical evaluation to measure, validate and implement evaluation frameworks that support ML model development and improved system behavior. Drive organizational metrics towards performance, safety, and quality. Work in a high-velocity environment, employ agile development practices, and collaborate in a globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robot

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