Research Engineer, AI Data Foundations & Pipelines

Hewlett Packard Enterprise; Fort Collins (CO); On-site; USD 133,000 - 253,000; Full time

Job summary

Hewlett Packard Enterprise in Fort Collins, CO is seeking a senior AI/ML engineer to develop infrastructures and algorithms for AI pipelines, focusing on data lineage, reproducibility, and trustworthy AI across NLP, LLMs, time-series and vision domains.

You will build creator-level knowledge-infused models and agentic OS frameworks, collaborate with cross-functional teams, and publish results while partnering with internal developers and external partners.

Qualifications

• PhD in Computer Science or related field with focus on ML/DL and data management.
• 3+ years of relevant industry experience.

Responsibilities

• Develop infrastructures and algorithms to capture, manage, enhance and interpret meta-data and lineage for AI pipelines.
• Enable reproducibility, reuse and optimization of pipelines; search, discovery, and usage of high quality data for trustworthy AI outcomes.
• Develop, evaluate and test Foundation AI models for NLP, LLMs, Time Series, Computer Vision, etc.; augment models with structured knowledge.
• Data and knowledge context retrieval, filtering, prioritization, advanced reasoning, and reasoning trace validation.
• Develop Agentic OS infrastructures for context, governance policies and guardrails across agentic harnesses.
• Collaborate with internal software teams and external partners to bring research into practice.

Skills

Python programming

Strong problem solving

Analytical skills

CI/CD development

Distributed programming concepts

Education

PhD in Computer Science or related field (ML/DL, data management)

3 years of relevant industry experience

Tools

Kubernetes

Ezmeral

PyTorch/TensorFlow

MLFlow

Kubeflow

Ray

DVC

lakeFS

Pachyderm

Common Metadata Framework

Flowcept

LangGraph

CrewAI

Autogen

LlamaIndex

OpenCode

Cloud Code

Academy

Job description

Hewlett Packard Enterprise in Fort Collins, CO is seeking a senior AI/ML engineer to develop infrastructures and algorithms for AI pipelines, focusing on data lineage, reproducibility, and trustworthy AI across NLP, LLMs, time-series and vision domains.

You will build creator-level knowledge-infused models and agentic OS frameworks, collaborate with cross-functional teams, and publish results while partnering with internal developers and external partners.