AI Data Foundation Research Engineer

Overview

AI Data Foundation Research Engineer (Finance)

This role is designed as 'Hybrid' with an expectation to work on average 2 days per week from an HPE office.

Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today s complex world. Our culture values varied backgrounds and flexibility to manage work and personal needs.

We strive to move boldly together and be a force for good. If you want to stretch and grow your career, our culture will embrace you. Open up opportunities with HPE.

Job Description:

Successful candidate will develop new methods for context discovery, retrieval, filtering, prioritization, multi-modal data representation, advanced reasoning, tool calling, and reasoning trace validation in conversational, deep research, and agentic AI workflows. The candidate will also work on capture, management, search, enhancement and interpretation of meta-data and lineage for AI pipelines to enable reproducibility, reuse and optimization of pipelines; discovery, selection and usage of relevant high-quality data for trustworthy AI outcomes across multiple AI applications;

development, evaluation and testing of Foundation AI models for modalities including NLP, LLMs, Time Series Analysis, Computer Vision, AI for Science, and augmentation of AI models with structured knowledge (knowledge infused learning). We seek individuals with background in computer systems, machine learning, deep learning, statistics, generative AI, data management, and big data pipelines, with awareness of current state of the art and opportunities, and a track record in innovative research.

The ideal candidate thrives in an applied research environment, balancing external publications with hands-on engineering to bring contributions to practice in collaboration with internal software development teams and external partners.

Must-have Requirements

• 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,
  plus 3 years of relevant industry experience
  .
• Research experience in Generative AI, Deep Learning and Machine Learning
• Experience with advanced AI model architectures: LLMs, Time Series Foundation Models, Diffusion Models, etc.
• Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm, Common Metadata Framework)
• Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow, Ray)
• Experience with agentic AI platforms (e.g., Lang Graph, CrewAI, ADK, Llama Index, etc.)

Preferred Skills

• Strong programming skills in Python with high proficiency in data structures and algorithms. C/C++ skills
• Experience with CI/CD code development
• Outstanding analytical and problem-solving skills
• Experience with hybrid AI-HPC workflows (e.g., AI surrogate modeling, computational steering of experiments)
• Experience with knowledge graphs and knowledge infused learning
• Expertise in research of data and workflow management systems
• Experience in system software performance and scalability optimization
• Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming
• Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral)

Additional

Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We invest in your career because the better you are, the…