Senior Machine Learning Data Pipeline Engineer
Core
Design, build, and operate scalable data pipelines and agentic workflows for end-to-end autonomous driving foundation models to automate data discovery, selection, curation, and mining.
Role type
Senior Machine Learning Data Pipeline Engineer
Builds
Scalable data pipelines, agentic workflows, and production systems for DNN training data
Domain
Autonomous driving, Deep Learning, LLM/VLM
Deliverable
production ML models
Required skills
Python, SQL, Data pipeline engineering, Agentic workflow development, Deep learning fundamentals, LLM/VLM inference, Data curation, Workflow orchestration, Failure recovery
Preferred skills
Foundation model data pipelines, LLM/VLM-based mining, Multimodal retrieval, Autonomous driving/robotics data, Temporal video/sensor metadata, Model failure analysis
Technologies
LLMs, Vision-Language Models, Retrieval techniques, DNNs, Data tools
Responsibilities
Design and build scalable data pipelines for data discovery and curation; Develop agentic workflows to identify model data needs and execute mining tasks; Deploy and operate pipelines as reliable production systems with monitoring; Partner with MLEs to convert data needs into reusable mining capabilities
