Senior Data Scientist, AD/ADAS

Overview

In this role you will design and deploy sophisticated data models to advance AD/ADAS solutions within the Autonomy team. You will connect data strategy with real-world Toyota fleet data, simulators, and production workflows, aiming to improve perception and planning performance. You’ll collaborate across time zones and stakeholders to shape data-driven ML solutions that meet safety and cost objectives. This position offers impact at scale, contributing to a mission of safer mobility and smarter software-defined vehicles.

Pay / Benefits

• Excellent health, wellness, dental and vision coverage
• A rewarding pension
• Flexible vacation policy
• Family planning and care benefits

Responsibilities

• Develop data strategies to collect, sample, label, and leverage large data from fleet, test vehicles, and simulators to improve model performance
• Lead data-related activities across the autonomy team and collaborate with stakeholders across the company
• Analyze large-scale data to propose data curation, model improvement, and evaluation techniques
• Develop evaluation frameworks and metrics to assess planner performance and identify edge cases
• Design and improve scalable data pipelines and automation for machine learning and performance evaluation
• Enhance team capabilities in data science by leading initiatives and mentoring team members

Key requirements

• Masters or PhD in a quantitative field related to Science and Engineering
• 5+ years in AD/ADAS, Robotics, Computer Vision, or Behavioral Planning
• 3+ years in data science including ML, A/B testing, and mathematical modeling
• Experience building ML algorithms and infrastructure: data processing, ablation studies, evaluation
• Experience coding in Python for data science, databases, and cloud services

• proactive
• collaborative
• mentoring
• Python (numpy, scipy, scikit, pandas)
• data pre- and post-processing, sampling and curation
• AB testing and statistical modeling

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