Robotics Data Platform Engineer for Field ML

FieldAI; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

FieldAI’s Irvine team is building the data foundation for the full ML lifecycle in autonomous robotics. The Data Platform Engineer will design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation.

You will collaborate with ML engineers, researchers, labeling teams, robotics engineers, and infrastructure teams to create scalable systems for robotics and ML data in a production environment.

Qualifications

• Strong experience building production data platforms or large-scale data-processing systems.
• Strong software engineering skills, preferably Python and/or C++/Java/Go.
• Experience with distributed data processing and workflow orchestration.
• Experience with data lakes/lakehouses, object storage, metadata systems, schemas, and data versioning.
• Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design.
• Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems.
• Ability to work across ambiguous organizational and technical boundaries.
• Strong systems-design and engineering judgment.

Responsibilities

• Design and build scalable data architecture for large-scale multimodal robotics and ML datasets.
• Build abstractions and services for ingestion, processing, datasets, metadata, lineage, and data quality.
• Develop reliable pipelines for transforming raw robot data into versioned, ML-ready data products.
• Define data models, schemas, contracts, and lifecycle states across data-processing workflows.
• Build systems for tracking provenance and lineage across raw data, derived artifacts, labels, datasets, and downstream ML workloads.
• Develop automated validation and data-quality frameworks that detect incomplete, corrupted, or unusable data early.
• Design for incremental processing, reprocessing, backfills, and versioned transformations.
• Improve observability and failure diagnosis across complex data workflows.
• Partner with ML and robotics teams to understand domain-specific data requirements and turn recurring patterns into reusable platform capabilities.
• Work closely with infrastructure/platform teams on storage, compute, orchestration, reliability, and scalability.

Skills

Python

C++

Java

Go

Distributed processing

Data lakes

Data quality

S3

Airflow/Dagster

Spark/Ray

Kubernetes

Parquet

Job description

FieldAI’s Irvine team is building the data foundation for the full ML lifecycle in autonomous robotics. The Data Platform Engineer will design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation.

You will collaborate with ML engineers, researchers, labeling teams, robotics engineers, and infrastructure teams to create scalable systems for robotics and ML data in a production environment.