Woven by Toyota - Senior Data Engineering Manager, AD/ADAS
Requirements
• Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience • 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry. • 8+ years of experience covering data science, data sampling and curation, machine learning workflows, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization. • Experience with rigorous data science for applications leveraging large scale data sources and highly efficient pipelines • Experience working with large-scale robotics datasets, temporal data and/or sequential modeling • Excellent communication skills with the ability to communicate concepts clearly and precisely • Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) • Experience as a Data Architect or Senior Manager • Proven track record of deploying ML models at scale in self-driving products, self-driving challenges, or related fields • Experience with production data pipelines or Safety & Quality processes for safety-critical applications • Analyze huge (e.g. peta byte) scale database; • Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning; • Design data annotation rules for machine learning • Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions • Behavior prediction, imitation learning, reinforcement learning, or end-to-end models.
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).
Benefits
• 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 pension • ・Flexible vacation policy
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