Senior ML Engineer - Data Flywheel for Autonomous Robots

FieldAI; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

FieldAI Irvine is seeking an ML Engineer focused on the Data Flywheel to build and automate this lifecycle for autonomous robots operating in complex real‑world environments. You will work between ML engineering and data engineering, turning large volumes of robot experience into high‑quality training data.

Collaborating with perception researchers, labeling, Data Platform, and ML Platform engineers, you will create scalable pipelines for dataset generation, model training, and production

Qualifications

• Strong Python and software engineering skills.
• Experience building ML/data‑processing pipelines.
• Understanding of ML dataset construction and training workflows.
• Experience processing large datasets using distributed or parallel computing.
• Experience with object storage, Parquet or similar formats, workflow systems, and cloud compute.
• Ability to bridge exploratory ML code and reliable production systems.
• Strong understanding of data quality and reproducibility.

Responsibilities

• Build and maintain pipelines that transform robot data into training‑ready ML datasets.
• Automate data processing, filtering, selection, transformation, labeling, and dataset‑generation workflows.
• Develop scalable batch and offline inference pipelines for auto‑labeling and data mining.
• Build systems for selecting useful or difficult examples from large volumes of robot data.
• Integrate manual labeling and model‑assisted/automated labeling into repeatable data workflows.
• Implement data‑quality checks and dataset validation.
• Build reproducible and versioned dataset‑generation pipelines.
• Improve incremental dataset generation so new robot experience can efficiently feed future training cycles.
• Partner with researchers to translate experimental data‑processing logic into reliable production pipelines.
• Measure and improve the efficiency of the loop from new robot experience to usable training data.

Skills

Python

ML/data pipelines

Distributed computing

Parquet

Cloud compute

Production systems

Data quality

Data workflows

Job description

FieldAI Irvine is seeking an ML Engineer focused on the Data Flywheel to build and automate this lifecycle for autonomous robots operating in complex real‑world environments. You will work between ML engineering and data engineering, turning large volumes of robot experience into high‑quality training data.

Collaborating with perception researchers, labeling, Data Platform, and ML Platform engineers, you will create scalable pipelines for dataset generation, model training, and production