HPE
AI Data Foundation Research Engineer
$132K–$252K
Ft. Collins, Colorado, United States of America · Full-time · Posted Oct 5, 2026
- Experience
- 3 years of relevant industry experience.
- Education
- PhD in Computer Science or related fields with a focus on data engineering and data science, in particular Machine Learning, Deep Learning, and/or data management for AI.
About the job
Develops research-driven data infrastructure, algorithms, AI models, and agentic systems to improve AI pipeline reproducibility, data discovery, model quality, and governance.
What you'll do
- Build infrastructure and algorithms to capture and manage AI pipeline metadata and lineage, and to support high-quality data discovery and reuse.
- Develop, evaluate, and test foundation AI models and augment them with structured knowledge and context retrieval to improve AI workflows.
- Develop Agentic OS infrastructure for managing context, reasoning, governance policies, and guardrails across agentic systems.
What they ask for
- PhD in Computer Science or a related field focused on data engineering and data science, especially Machine Learning, Deep Learning, and/or data management for AI.
- Three years of relevant industry experience.
- Demonstrated track record in innovative research.
- Strong programming skills in Python, including proficiency in data structures and algorithms.
Nice to have
- Research or experience in Generative AI, Deep Learning, Machine Learning, advanced model architectures, AI/ML pipelines, or MLOps.
- Experience with agentic AI platforms, coding agents and co-pilots, CI/CD, containerized development, or orchestration tools.
Pay
USD 132,500 - 252,500 (base salary)
Tools
Python, DVC, lakeFS, Pachyderm, Pytorch/Tensorflow, MLFlow, Kubeflow, Ray
AI focus
Research and engineering for foundation AI models, generative AI, AI pipeline data and metadata management, knowledge-infused learning, and agentic AI infrastructure.
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