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Senior ML Engineer — Data Flywheel
Summary by AIEngineer.careers
Senior ML Engineer — Data Flywheel is a ML Engineer role (full-time). with FieldAI. in SEATTLE, US. Imported listing (source: jobtarget.com). Apply on the employer's site (jobtarget.com).
Imported listing (source: jobtarget.com) · Apply on jobtarget.com
SEATTLE · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobtarget.com
FieldAI is seeking a Senior ML Engineer to build and automate the data flywheel for autonomous robots. This role bridges ML engineering and data engineering, focusing on transforming raw robot sensor data into high-quality training datasets through scalable pipelines and automated labeling systems.
Responsibilities
- Build and maintain pipelines that transform robot data into training-ready ML datasets.
- Automate data processing, filtering, selection, transformation, and labeling workflows.
- Develop scalable batch and offline inference pipelines for auto-labeling and data mining.
- Implement data-quality checks, dataset validation, and versioned generation pipelines.
- Partner with researchers to translate experimental logic into reliable production systems.
Requirements
- Strong Python and software engineering skills.
- Experience building ML/data-processing pipelines and understanding of dataset construction.
- Experience processing large datasets using distributed or parallel computing (e.g., Ray/Spark).
- Familiarity with object storage, Parquet formats, workflow systems, and cloud compute.
- Ability to bridge exploratory ML code with reliable production systems.
F
FieldAI
Irvine · US · 308+ employees
FieldAI specializes in general robot intelligence for the physical world, developing hardware-agnostic AI platforms that enable robots to navigate and operate safely in complex, unstructured environments without prior maps or GPS. Their Field Foundation Models (FFMs) are deployed in industries including construction, manufacturing, energy, and security.
