2 days ago
Fort Collins, CO, USAMid Level
H1B sponsor
Base Salary
$133k - $253k/yr
Responsibilities
- Develop infrastructure and algorithms to capture, manage, enhance, and interpret metadata and lineage for AI pipelines.
- Enable reproducibility, reuse, optimization, search, discovery, selection, and usage of high-quality data across AI applications.
- Develop, evaluate, and test foundation AI models for natural language processing, large language models, time series analysis, and computer vision.
- Augment AI models with structured knowledge through data and knowledge context retrieval, filtering, prioritization, advanced reasoning, reasoning-trace capture, and validation.
- Develop Agentic OS infrastructure for consistent context, reasoning, governance-policy, and guardrail management across agentic harnesses.
- Conduct applied research and contribute technical work to open source while partnering with internal software development teams and external partners.
- Research and optimize data and workflow management systems, AI-HPC workflows, software performance, scalability, and distributed or parallel systems where applicable.
Requirements
- PhD in Computer Science or a related field focused on data engineering and data science, particularly machine learning, deep learning, and/or data management for AI.
- At least 3 years of relevant industry experience.
- Research experience in generative AI, deep learning, and machine learning.
- Experience with advanced AI model architectures such as LLMs, time series foundation models, and diffusion models.
- Experience developing end-to-end AI and machine learning pipelines, particularly the underlying data layer.
- Experience with AI model development lifecycles, ML/deep learning frameworks, and MLOps platforms.
- Experience with agentic AI platforms such as LangGraph, CrewAI, ADK, AutoGen, LlamaIndex, OpenCode, Cloud Code, and Academy.
- Strong Python programming skills and high proficiency in data structures and algorithms.
- Experience using coding agents and copilots for accelerated code development.
- Experience with containerized development and orchestration tools.
- Knowledge of knowledge graphs and knowledge-infused learning is a plus.
- Research experience with data and workflow management systems is a plus.
- Experience with hybrid AI-HPC workflows, system software performance and scalability optimization, and multithreaded, parallel, object-oriented, or distributed programming is a plus.
Benefits
- Onsite role with an expectation of primarily working from an HPE office.
- Comprehensive health, financial, and emotional wellbeing benefits for employees and their loved ones.
- Personal and professional development programs supporting career growth and movement across divisions.
- Inclusive workplace programs and accessibility accommodations for qualified applicants.
Tech Stack
Categories
AI ResearchML Engineering
About HPE
Hewlett Packard Enterprise (HPE) builds enterprise IT infrastructure and services, including servers, storage, networking (Aruba), and hybrid edge-to-cloud platforms like HPE GreenLake for businesses and public-sector organizations. Formed in 2015 after Hewlett-Packard’s split, HPE is headquartered in Houston, Texas and trades on the NYSE. It sells hardware, software, and subscription-based managed cloud services to help customers run workloads across data centers, colocation, and public clouds.