Hybrid AI Data Foundation Research Engineer

Zerto; Fort Collins (CO); Hybrid; Confidential; Full time

Job summary

Hewlett Packard Enterprise seeks an AI Data Foundation Research Engineer to advance methods for context discovery, data pipelines, multi-modal AI, and trustworthy AI across NLP, time series, and vision domains.

The role emphasizes applied research with open-source contributions and collaboration with internal teams. Hybrid work is expected, with 2 days per week in the Colorado office.

Qualifications

• PhD in CS with focus on data engineering/data science and 3+ years of industry experience.
• Research in Generative AI, DL/ML with demonstrated results or publications.
• Experience with end-to-end AI/ML pipelines and data-layer tooling (DVC, Pachyderm, CMF).

Skills

Generative AI

Deep Learning

Machine Learning

LLMs

Time Series Models

Diffusion Models

Python

C/C++

Multi-threading

Education

PhD in Computer Science or related

Tools

DVC

Pachyderm

Common Metadata Framework

MLFlow

Kubeflow

Ray

Job description

Hewlett Packard Enterprise seeks an AI Data Foundation Research Engineer to advance methods for context discovery, data pipelines, multi-modal AI, and trustworthy AI across NLP, time series, and vision domains.

The role emphasizes applied research with open-source contributions and collaboration with internal teams. Hybrid work is expected, with 2 days per week in the Colorado office.