AI Data Foundation Research Engineer
Core
Develop infrastructures and algorithms to manage metadata, lineage, and high-quality data for AI pipelines; develop and evaluate Foundation AI models (NLP, LLM, Time Series, Computer Vision) and Agentic OS infrastructures.
Role type
Senior IC AI Data Foundation Research Engineer
Builds
AI pipelines, Foundation AI models, Agentic OS infrastructures, and knowledge-infused learning systems.
Domain
Artificial Intelligence, Machine Learning, Data Engineering, Big Data
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Generative AI, Data Management, Statistics, Computer Systems, Python, Distributed Programming, MLOps, Knowledge Graphs
Preferred skills
LLMs, Diffusion Models, Agentic AI platforms, Knowledge-infused learning, Hybrid AI-HPC workflows, System software performance optimization
Technologies
PyTorch, TensorFlow, MLFlow, Kubeflow, Ray, LangGraph, CrewAI, LlamaIndex, Kubernetes, DVC, lakeFS, Pachyderm
Responsibilities
Develop algorithms to capture and manage metadata and lineage for AI pipelines; Develop and evaluate Foundation AI models across multiple modalities; Develop Agentic OS infrastructures for context and governance management; Partner with internal software development teams and external partners to bring research to practice.
Seniority
Senior, hands-on IC
