Robotics Data Pipelines Architect for Multimodal ML

Jack & Jill; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Equity

Job summary

Jack & Jill in San Francisco seeks a senior data engineer to lead the development of high-performance data pipelines. You will transform raw sensor streams into training-ready datasets and shape the data architecture for robotics applications.

You will work with cloud infrastructure on AWS, manage large multimodal datasets, and implement scalable ETL pipelines. The role emphasizes strong software engineering practice and collaboration with ML teams.

Qualifications

• Proficient in Python and Linux
• Experience managing large-scale multimodal datasets
• Experience with cloud infrastructure (AWS)
• Experience building ETL pipelines
• Familiarity with S3 object storage and data workflows
• Strong software engineering fundamentals
• Experience designing data pipeline architectures

Responsibilities

• Lead development of high-performance data pipelines to transform raw sensor streams into training-ready datasets.
• Architect scalable infrastructure for multimodal robotics data, including video and force sensing, to support ML models.

Skills

Python

Linux

AWS

ETL Pipelines

S3 Storage

Multimodal Data Management

Software Engineering

Data Pipeline Architecture

Job description

Jack & Jill in San Francisco seeks a senior data engineer to lead the development of high-performance data pipelines. You will transform raw sensor streams into training-ready datasets and shape the data architecture for robotics applications.

You will work with cloud infrastructure on AWS, manage large multimodal datasets, and implement scalable ETL pipelines. The role emphasizes strong software engineering practice and collaboration with ML teams.