Robotics ML Data Engineer for Real-World Robots

Weave Robotics; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Weave Robotics in San Francisco, CA is building a data-driven robotics platform that learns from real homes and businesses. You’ll architect and operate data pipelines that transform terabytes of fleet data into training datasets used by our models, and you’ll influence sampling, curricula, and data quality for scalable learning.

Ideal candidates bring hands-on data engineering experience at scale, fluency with Python and strong software fundamentals, plus familiarity with robotics data

Qualifications

• Experience building data pipelines at scale.
• Ability to turn raw sensor data into training datasets.
• Strong Python and software engineering fundamentals.
• Familiarity with robotics data challenges.

Responsibilities

• Know the data: characterize coverage, drift, and spectral analysis.
• Find needles: dig bad data out of terabytes and automate catching it.
• Build the data lifecycle: curation, preprocessing, annotation, augmentation, versioning.
• Use models as instruments: embedding search and filtering signals.
• Improve models through data: collaborate with researchers on failures and curate datasets.
• Build eval datasets and benchmarks across tasks, environments, embodiments, and versions.

Skills

Data engineering

ML data pipelines

Python

C++

Analytics

Data debugging

Distributed storage

Tools

S3

GCS

Job description

Weave Robotics in San Francisco, CA is building a data-driven robotics platform that learns from real homes and businesses. You’ll architect and operate data pipelines that transform terabytes of fleet data into training datasets used by our models, and you’ll influence sampling, curricula, and data quality for scalable learning.

Ideal candidates bring hands-on data engineering experience at scale, fluency with Python and strong software fundamentals, plus familiarity with robotics data