Senior Data Engineering Manager, AD/ADAS

Woven; Greater London; On-site; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Excellent health coverage

Family planning benefits

Job summary

Woven by Toyota seeks an experienced Autonomy Data Manager to lead a skilled team of Data Scientists, Data Engineers, and ML Ops Engineers in the Autonomy group. You will drive data model development, labeling strategies, and end-to-end data pipelines to boost ML model performance for perception, planning, and other autonomy tasks.

You will shape data strategy, foster cross-functional collaboration across US, Japan, and the UK, and ensure production-grade reliability while prioritizing safety

Qualifications

• Masters or PhD in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience.
• 8+ years of experience covering data science, data sampling and curation, machine learning workflows, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
• 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry.
• Experience with rigorous data science for applications leveraging large scale data sources and highly efficient pipelines.
• Experience working with large-scale robotics datasets, temporal data and/or sequential modeling.
• Excellent communication skills and ability to convey concepts clearly.

Responsibilities

• Define the team's short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives.
• Initiate and influence cross-functional teams towards common data development goals and unified solutions.
• Support the data roadmap for the program and connect your team’s technical roadmap with actionable data strategy across data collection, labelling, sampling, evaluation.
• Lead initiative execution by defining efficient processes, mitigating technical risks, and anticipating long-term improvements.
• Coach and develop team members through high-quality algorithms, design reviews, and rigorous initiative reporting.
• Provide technical guidance in design, development, deployment, optimization and evaluation of data algorithms and pipelines to improve ML model performance.

Skills

Technical leadership

Team management

Data science workflows

Communication

Python for data science

Education

Masters or PhD in ML/CS/Applied Math

Tools

AWS

GCP

Azure

Docker

Kubernetes

Jenkins

GitHub Actions

Job 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 seeking an experienced, technical, and hands‑on Autonomy Data Manager to grow and lead a talented team composed of Data Scientists, Data Engineers and ML Ops Engineers, working in the Autonomy team to deliver data driven Planning and Perception solutions. You will lead the team to drive the creation and deployment of sophisticated data models and algorithms to resolve business challenges for the Autonomy team. You lead through your expertise in data, deep learning and software engineering. You provide technical guidance to the team by combining modern data approaches with safety standards while also considering cost efficient options.. 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

• Define the team's short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives across Perception, Planning, Simulation, Infrastructure, and Tooling.
• Initiate and influence cross-functional teams towards common data development goals and unified solutions.
• Support the data roadmap for the program and connect your team’s technical roadmap by focusing on actionable data strategy approaches from data collect strategies, to data curation, labelling , sampling, evaluation, with a goal of leveraging the large amounts of Toyota’s market fleet data to directly improve machine learning model performance across the End-to-End Autonomy Data pipeline.
• Lead initiative execution by defining efficient processes, mitigating technical risks, and anticipate long-term strategic improvements within the team and across the program.
• Enable and develop each team member to be more effective through coaching and leading by example providing high-quality algorithms, carefully thought out design reviews, and delivering rigorous initiative reports.
• Collaborate and provide technical guidance in the design, development, deployment, optimization, and evaluation of state‑of‑the‑art data algorithms, data efficiency and pipelines to enable ML model performance with a focus on iteration speed, scalability and overall cost efficiency.
• Drive a culture of rigorous statistical evaluation to measure, validate and implement evaluation frameworks that support ML model development and improved system behavior.
• Drive organizational metrics towards performance, safety, and quality.
• Work in a high-velocity environment, employ agile development practices, and collaborate in a globally distributed department (US, Japan, UK).

MINIMUM QUALIFICATIONS

• Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience
• 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry.
• 8+ years of experience covering data science, data sampling and curation, machine learning workflows, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
• Experience with rigorous data science for applications leveraging large scale data sources and highly efficient pipelines
• Experience working with large-scale robotics datasets, temporal data and/or sequential modeling
• Excellent communication skills with the ability to communicate concepts clearly and precisely
• Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure)

NICE TO HAVES

• Experience as a Data Architect or Senior Manager
• Proven track record of deploying ML models at scale in self-driving products, self-driving challenges, or related fields
• Experience with production data pipelines or Safety & Quality processes for safety-critical applications
• Hands‑on experience in the following:
• 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.

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
• 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 ourprivacy notice for more details.