AI Data Foundation Research Engineer
Core
Developing new methods for context discovery, retrieval, filtering, and reasoning in conversational, deep research, and agentic AI workflows; building AI pipelines with metadata management for reproducibility; developing and evaluating foundation AI models across NLP, LLMs, Time Series, and Computer Vision.
Role type
Senior IC AI Data Foundation Research Engineer
Builds
Foundation AI models, agentic AI workflows, and data pipelines for HPE's edge-to-cloud solutions
Domain
Artificial Intelligence, Machine Learning, Data Engineering, Big Data
Deliverable
production ML models
Required skills
Generative AI, Deep Learning, Machine Learning, LLMs, Time Series Foundation Models, Diffusion Models, AI model development lifecycle, MLOps, agentic AI platforms, data management for AI, end-to-end AI pipelines
Preferred skills
Python, C/C++, CI/CD, hybrid AI-HPC workflows, knowledge graphs, system software performance optimization, multi-threaded programming, containerized development, Kubernetes
Technologies
Pytorch, Tensorflow, MLFlow, Kubeflow, Ray, LangGraph, CrewAI, ADK, LlamaIndex, DVC, Pachyderm, Common Metadata Framework, Kubernetes, Ezmeral
Responsibilities
Develop methods for context discovery, retrieval, and reasoning in agentic AI workflows; manage metadata and lineage for AI pipelines; develop and evaluate foundation AI models across multiple modalities; partner with internal teams to bring research contributions to practice
Seniority
Senior, hands-on IC with research and engineering focus
