Senior ML Engineer (Data Flywheel)

Location: Irvine, California, United States; on-site

Company

hirify.global develops risk-aware, reliable AI systems for real robots, sensors, and field deployments.

What you will do

• 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 and difficult examples from large volumes of robot data.
• Integrate manual, model-assisted, and automated labeling into repeatable workflows.
• Implement data-quality checks, validation, versioning, and efficient incremental dataset generation.

Requirements

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

Nice to have

• Computer vision, perception, robotics, or multimodal ML experience.
• Experience with auto-labeling, active learning, hard-example mining, or data selection.
• Experience processing images, video, point clouds, LiDAR, or other sensor data.
• Ray, Spark, or similar distributed-processing experience.

Culture & Benefits

• Work directly with real robots, sensors, and field deployments.
• Collaborate with perception and autonomy researchers, labeling specialists, and Data and ML Platform engineers.
• Develop systems that are tested on hardware and improved through real-world deployments.