Robotics ML Data Engineer Scale Terabyte Pipelines

Weave Robotics, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Weave Robotics is building the data infrastructure to power home robotics at scale. You will design and implement pipelines that turn raw fleet data into training datasets, enabling rapid model improvement across real homes and businesses.

Role combines data engineering and data understanding: curate data, automate quality checks, and optimize sampling and preparation for training loops, with emphasis on throughput and reliability.

Qualifications

• Experience building data pipelines for large-scale ML workflows.
• Ability to transform raw robot data into training-ready datasets.
• Experience with distributed storage and data orchestration tools.

Responsibilities

• Characterize data coverage, drift, and quality across terabytes of episodes.
• Build and maintain data lifecycle: ingestion, preprocessing, augmentation, and versioning.
• Collaborate with researchers to curate datasets and improve model behavior.

Skills

Data engineering

Python

C++

ML experience

Tools

S3

GCS

Airflow

Kubeflow

Job description

Weave Robotics is building the data infrastructure to power home robotics at scale. You will design and implement pipelines that turn raw fleet data into training datasets, enabling rapid model improvement across real homes and businesses.

Role combines data engineering and data understanding: curate data, automate quality checks, and optimize sampling and preparation for training loops, with emphasis on throughput and reliability.