Staff Data Platform Engineer
Core
Own the shared AI data platform for deepfake detection, turning acquired and synthetic image, video, audio, and text data into reliable, reproducible datasets for model training and evaluation.
Role type
Staff Data Platform Engineer (Infrastructure & Data Engineering)
Builds
End-to-end data platform, Databricks lakehouse, distributed processing stack, and reusable infrastructure for in-house synthetic data generation.
Domain
Cybersecurity / AI Safety / Generative Media
Deliverable
production ML models
Required skills
Distributed processing (Spark, Ray), Databricks (Unity Catalog, Delta Lake), Python, SQL, Terraform, CI/CD, AWS, Data pipeline orchestration, Synthetic data generation, Security/compliance data handling
Preferred skills
Multimodal data handling (video/audio/images), ML research support, Adversarial domain experience, Startup environment experience
Technologies
Databricks, Spark, Ray, AWS, S3, GCS, Azure Blob, Airflow, Dagster, Terraform, CI/CD
Responsibilities
Own end-to-end data platform for AI research (ingestion, preprocessing, governance, export); Scale Databricks lakehouse and distributed processing stack; Build reusable infrastructure for synthetic data generation; Ensure dataset reproducibility and traceability; Own pipeline reliability and cost metrics; Partner with ML researchers to build self-serve tools; Mentor engineers on data practices; Collaborate with Security on data handling and access controls.
Seniority
Staff, hands-on IC with mentorship
