Senior Data Scientist — Autonomy & Perception AI

Woven; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health coverage

Dental and vision coverage

Family planning benefits

Job summary

Woven by Toyota is seeking a senior Data Scientist to drive data models and algorithms for the Autonomy team. You will fuse modern data approaches with safety and cost considerations, and contribute as a deep learning expert and software engineer.

You will lead data strategy across perception and planning, collaborate with multiple teams across time zones, and mentor others while building scalable pipelines and evaluation frameworks.

Qualifications

• 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 or related areas including ML, A/B testing, and modeling.
• Experience building ML algorithms and infrastructure (data processing, ablation, evaluation).
• Experience writing software using Python, databases, and cloud platforms.

Responsibilities

• Develop data strategies to collect, sample, label, and leverage large data from fleet and simulators to improve ML model performance.
• Lead data-related activities across the autonomy team and collaborate with stakeholders across time zones.
• Analyze large-scale data and propose data curation and evaluation techniques.
• Develop evaluation frameworks and metrics for planner performance and edge-case handling.
• Design scalable data pipelines and automation for ML and performance evaluation.
• Mentor team members and raise data science capabilities across Autonomy teams.

Skills

Data Science

Deep Learning

Software Engineering

Python

Education

Master's or PhD in quantitative field

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

Woven by Toyota is seeking a senior Data Scientist to drive data models and algorithms for the Autonomy team. You will fuse modern data approaches with safety and cost considerations, and contribute as a deep learning expert and software engineer.

You will lead data strategy across perception and planning, collaborate with multiple teams across time zones, and mentor others while building scalable pipelines and evaluation frameworks.