Data Engineer - Axion
Core
Constructing optimized data pipelines and evolving data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles for physical AI systems.
Role type
Senior Data Engineer (ML Infrastructure)
Builds
Data pipelines, data engine architecture, and integration of foundation models for labeling and QA
Domain
Physical AI, Autonomous Systems, Defense/Automotive
Deliverable
production ML models
Required skills
Data pipeline construction, ML infrastructure, large-scale GPU job execution, microservices, database design
Preferred skills
Foundation models (LLMs, VLMs), Docker, Kubernetes, OpenSearch, Postgres, active learning, human-in-the-loop systems
Technologies
Python, Golang, React, TypeScript, Docker, Kubernetes, OpenSearch, Postgres
Responsibilities
Construct optimized data pipelines to run ML models, Evolve data engine architecture to scale high-fidelity labels, Integrate foundation models to automate labeling and QA, Leverage software-in-the-loop and hardware-in-the-loop testing, Interact with DoD customers to understand use cases and triage needs
Seniority
Senior, hands-on IC
