AI Research Lab Research Associate, Intern
Hewlett Packard Enterprise
internship
Posted on:
Location Type: Hybrid
Location: Ft. Collins • California, Colorado • 🇺🇸 United States
Visit company websiteSalary
💰 $90,002 - $193,752 per year
Job Level
Entry Level
Tech Stack
DjangoFlaskJavaPythonPyTorchTensorflow
About the role
- Currently seeking highly qualified, self-motivated interns to accelerate research towards new applications, core methodologies and technologies in Artificial Intelligence at HPE Labs.
- As the central research organization for Hewlett Packard Enterprise (HPE), HPE Labs aims to deliver breakthrough technologies and technology advancements.
- Focuses on researching and developing technologies, architectures and software to develop cutting edge solutions in key areas of Deep Learning and Machine Learning, including Reinforcement Learning and Natural Language Processing.
- Opportunity to work with Machine Learning experts and get guidance and coaching in software engineering, hardware optimizations, data pipelining, and innovations.
Requirements
- Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
- Track record of world-class innovative contributions and ideas in machine learning.
- Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer.
- Experience in deep learning research
- Experience in developing deep learning software with high proficiency in data structures and algorithms.
- Strong programming skills and experience with Python, C/C++, and preferably Java
- Software development experience in Deep Learning, GPU acceleration, and Model Optimization.
- Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
- Experience in Transformer Neural Network architectures for Generative AI and natural language processing
- Experience with Agentic AI and Generative AI workflows - desired
- Experience in system software, GPU acceleration, DL model execution and performance optimization - desired
- Experience with multi-threaded programming, parallel processing, OOD, OOP and distributed programming
- Experience with AI for science use cases and hybrid AI/HPC workflows - a plus
- Experience in Python Web Frameworks – Django, Flask - a plus
- Self-motivated, pro-active, with leadership qualities
- Ability to work with ambiguity
- Demonstrated effective communication and collaboration skills
- Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
deep learningmachine learningreinforcement learningnatural language processingdata structuresalgorithmsGPU accelerationmodel optimizationmulti-threaded programmingparallel processing
Soft skills
self-motivatedpro-activeleadership qualitiesability to work with ambiguityeffective communicationcollaboration skillsinnovative contributionsproblem-solvingresearch leadershipcreativity
Certifications
PhD degreerelevant discipline degree