Hewlett Packard Labs - AI/Machine Learning Engineer - Hewlett Packard Enterprise Company

This role has been designated as ''Onsite' with an expectation that you will primarily work 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 thrives on finding new and better ways to accelerate what's next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Role and Responsibilities

We are seeking candidates interested in research and development of advanced technologies in Data-centric AI, including capture, management, search, enhancement and interpretation of meta-data and lineage for hybrid AI and HPC (high performance computing) pipelines that enable reproducibility and reuse of pipelines, discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI and HPC-AI applications, specifically in AI for Science workflows. We are particularly interested in individuals with a background in computer systems, big data pipelines, data management, machine learning, deep learning, statistics, HPC simulation and modeling environments with a good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions published externally in open source with the hands-on engineering skill to bring such contributions to practice in partnering with our internal software development teams and external partners.

Qualifications and Education Requirements

PhD in Computer Science or related fields with a focus on data management, big data, or Machine Learning with AI for science focus strongly preferred. Masters degree with 3+ years of relevant experience also accepted.

Preferred Skills

• Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm)
• Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow)
• Expertise in research of data and workflow management systems
• Familiarity with AI, Machine Learning and Deep Learning algorithms
• Experience with hybrid AI-HPC workflows (e.g., AI surrogate modeling, computational steering of experiments)
• Strong programming skills in Python, C/C++, with high proficiency in data structures and algorithms
• Experience with CI/CD code development
• Outstanding analytical and problem solving skills
• Experience in system software performance and scalability optimization - a plus
• Experience in deep learning research, GPU acceleration, and Model Optimization - a plus
• Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming - a plus
• Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral) - a plus

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

What We Can Offer You:

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 also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

#highperformancecompute

Job:
Engineering
Job Level:
Specialist

States with Pay Range Requirement

The expected salary/wage range for a U.S. -based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html .

Annual Salary: $113,000.00 - $259,500.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity .

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. .