Senior Data Scientist, AD/ADAS

RESPONSIBILITIES

Develop data strategies on how to collect, sample, label, handle, and leverage large amounts of data from Toyota’s market fleet, test vehicles, and simulators, to directly improve machine learning model performance across perception and planning stacks

Lead data-related activities across the autonomy team (perception, planning, product evaluation, etc), and across the company in collaboration with the Toyota group, by collaborating closely with stakeholders from multiple teams in different time-zones

Analyze large-scale data and identify its characteristics to propose technical solutions for data curation, model improvement and performance evaluation techniques

Develop evaluation frameworks and metrics to assess planner performance, identifying edge cases and high-value scenarios to improve system behavior.

Design and improve the scalable data pipelines and automation for machine learning and performance evaluation

Enhance the overall team capabilities in data science by initiating and leading initiatives across the Autonomy teams and mentor team members.

MINIMUM QUALIFICATIONS

Masters or PhD degree in a quantitative field related to Science and Engineering.

5+ years experience in following industries or research areas: AD/ADAS, Robotics, Computer Vision, or Behavioral Planning.

3+ years experience in data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, A/B testing, and mathematical modeling)

Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation

Experience writing software using: i)  Python for data science (numpy, scipy, scikit, pandas; ii) database; and iii) cloud platform services (AWS, GCP, Azure)

NICE TO HAVES

• 5+ years experience in data science or related areas

• 2+ years tech lead or management experience in data science or related areas for business applications, such as production, commercial service or public service development

• Hands-on experience in the following:

• Analyze huge (e.g. peta byte) scale database

• Experience with temporal/sequential and/or spatial data

• 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.

• Japanese language skills

Employment type

Employee