Senior Data Scientist, AD/ADAS
Senior Data Scientist on Woven by Toyota's Autonomy team in London, building data strategies, pipelines, and evaluation frameworks to improve ML models for Toyota's AD/ADAS (autonomous driving and driver-assist) systems. Core stack: Python data science tools, large-scale data/ML infrastructure, and cloud platforms (AWS/GCP/Azure).
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Masters or PhD degree 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, including ML theory (deep learning, statistical analysis, A/B testing, mathematical modeling)
- Experience building ML algorithms and infrastructure: data pre/post-processing, sampling and curation, ablation studies, evaluation
- Experience with Python for data science (numpy, scipy, scikit, pandas), databases, and cloud platforms (AWS, GCP, Azure)
Nice to have
- 5+ years experience in data science or related areas
- 2+ years tech lead or management experience in data science for business applications
- Hands-on experience analyzing huge (e.g. petabyte) scale databases
- Experience with temporal/sequential and/or spatial data
- Developed perception-related technologies such as camera image processing, computer vision, machine learning, or deep learning
- Designed data annotation rules for machine learning
- Built or managed infrastructure such as Docker, Kubernetes, Jenkins, GitHub Actions
- Experience with behavior prediction, imitation learning, reinforcement learning, or end-to-end models
- Japanese language skills
Full description
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
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
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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
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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
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Analyze large-scale data and identify its characteristics to propose technical solutions for data curation, model improvement and performance evaluation techniques
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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