Autonomy Data Engineering Manager: Lead ML & Data Pipelines

Woven; Greater London; Hybrid; 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 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