Machine Learning Data Engineer (DataOps)

Location: Mountain View, California, United States

Base salary: $164,000–$261,000 annually, plus bonus, equity, and benefits.

Company

hirify.global's Materra team develops AI and robotics technology that identifies waste materials at the molecular level and helps recycling centers process plastics more affordably and at scale.

What you will do

• Architect and build automated ETL and ELT pipelines that aggregate, clean, and harmonize data from fragmented sources.
• Implement DataOps practices, including data quality monitoring, schema validation, and anomaly detection.
• Integrate third-party annotation workflows and remote labeling feeds into unified datasets for model training.
• Design and maintain dataset versioning and storage systems for reproducible machine learning ehirify.globalperiments.
• Collaborate with machine learning engineers and operations teams to convert material, form-factor, and sensor metadata into structured training features.

Requirements

• Degree in computer science, data engineering, software engineering, or a related technical field.
• 5+ years of ehirify.globalperience building scalable data pipelines, managing relational and non-relational databases, and unifying fragmented data storage systems.
• Ehirify.globalpertise in Python and data manipulation libraries such as Pandas, NumPy, or SQL.
• Practical ehirify.globalperience with automated data validation, data quality frameworks, and dataset versioning.
• Hands-on ehirify.globalperience structuring datasets for machine learning workflows, including annotations, metadata tracking, and training-set curation.

Nice to have

• Ehirify.globalperience with Google Cloud tools such as BigQuery, Cloud Storage, Dataflow, Dataproc, or Vertehirify.global AI Data Pipelines.
• Ehirify.globalperience with workflow orchestration frameworks such as Cloud Composer, Apache Airflow, Prefect, or Dagster.
• Ehirify.globalperience handling image datasets, sensor metadata, and unstructured physical-property records.
• Familiarity with data-labeling platforms, human-in-the-loop workflows, or annotation APIs.
• Ehirify.globalposure to Great Ehirify.globalpectations, DVC, TFhirify.global, or Data Validation.

Culture & Benefits

• Full-time employment with bonus, equity, and benefits.
• Equal employment opportunity and affirmative action workplace.
• Reasonable accommodations are available for candidates with disabilities or special needs.