Robotics ML Engineer – Data Flywheel Pipelines

Socket.dev; Irvine (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

FieldAI in Irvine is seeking an ML Engineer focused on the Data Flywheel to build and automate the lifecycle for autonomous robots in real-world environments. You will work between ML and data engineering, turning vast robot experiences into high-quality training data.

Collaborate with perception researchers, labeling teams, and ML Platform engineers to translate experiments into reliable production pipelines, with emphasis on data quality and reproducibility.

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 pipelines

Data processing

Distributed computing

Parquet/format data

Cloud compute

Production systems

Data quality

Job description

FieldAI in Irvine is seeking an ML Engineer focused on the Data Flywheel to build and automate the lifecycle for autonomous robots in real-world environments. You will work between ML and data engineering, turning vast robot experiences into high-quality training data.

Collaborate with perception researchers, labeling teams, and ML Platform engineers to translate experiments into reliable production pipelines, with emphasis on data quality and reproducibility.