Senior Data Scientist, AD/ADAS

Woven by Toyota; Greater London; On-site; GBP 90,000 - 135,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Pension

Flexible vacation policy

Family planning and care benefits

Job summary

Woven by Toyota in the United Kingdom seeks a data scientist to create and deploy data models for Autonomy, with emphasis on deep learning, perception, planning, and production software for AD/ADAS systems.

You will lead data strategy, build scalable pipelines, and evaluate models while applying safety and cost considerations to deliver data-driven improvements for Toyota vehicles.

Qualifications

• Masters or PhD in a quantitative field related to Science and Engineering.
• 5+ years experience in AD/ADAS, Robotics, Computer Vision, or Behavioral Planning.
• 3+ years experience in data science or related areas, including ML, A/B testing, and mathematical modeling.
• Experience building machine learning algorithms and infrastructure: data preprocessing, sampling, curation, ablation studies, evaluation.
• Experience writing software using Python for data science, databases, and cloud platform services (AWS, GCP, Azure).

Responsibilities

• Develop data strategies to collect, sample, label, handle, and leverage large data from Toyota’s fleet, test vehicles, and simulators to improve model performance.
• Lead data-related activities across the autonomy team and across the company by collaborating with stakeholders in different time zones.
• Analyze large-scale data to identify characteristics and propose technical solutions for 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 ML and performance evaluation.
• Mentor team members and raise data science capabilities across Autonomy teams.

Skills

Data science

Deep learning

Machine learning

Python

Cloud platforms

Education

Masters or PhD in quantitative field

Tools

Docker

Kubernetes

Jenkins

GitHub Actions

AWS/GCP/Azure

Job description

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 looking for a strong Data Scientist to drive the creation and deployment of sophisticated data models and algorithms to resolve business challenges for the Autonomy team. You will combine modern data approaches with safety standards while also considering cost efficient options. You will be an expert in deep learning and software engineering. 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

• 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

What We Offer

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
• Family planning and care benefits

Our Commitment

We are an equal opportunity employer and value diversity.

Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.