Senior ML Engineer — Data Flywheel for Field Robotics

FieldAI; Irvine, Northern (CA, KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

FieldAI in Irvine is seeking an ML Engineer focused on the Data Flywheel to help build and automate the lifecycle for autonomous robots operating in complex real-world environments. You will bridge ML engineering and data engineering, collaborating with perception researchers, labeling, Data Platform, and ML Platform engineers to turn robot experience into training data.

This role emphasizes scalable pipelines, data quality, reproducibility, and production readiness to ship reliable autonomy

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 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 pipelines

Data processing

Distributed computing

Cloud compute

Tools

Parquet

Workflow systems

Job description

FieldAI in Irvine is seeking an ML Engineer focused on the Data Flywheel to help build and automate the lifecycle for autonomous robots operating in complex real-world environments. You will bridge ML engineering and data engineering, collaborating with perception researchers, labeling, Data Platform, and ML Platform engineers to turn robot experience into training data.

This role emphasizes scalable pipelines, data quality, reproducibility, and production readiness to ship reliable autonomy