Research Scientist - Generative AI, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

101900.00 - 234500.00 USD / Year

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Job Description:

This role involves conducting high-quality research in generative AI, designing and implementing new algorithms, collaborating with cross-functional teams, and publishing research findings. The position is part of the Emergent Machine Intelligence Team at Hewlett Packard Labs, focusing on developing scalable, efficient, and innovative generative AI systems.

Job Responsibility:

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars

Requirements:

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences

Nice to have:

Knowledge of computational physics, statistical physics, or quantum physics, and how to apply these principles to develop innovative AI algorithms and models
Experience in interdisciplinary research, applying AI to quantitative disciplines or applications such as physics, chemistry, biology, healthcare, environmental science, or financial markets
Background in discrete optimization, combinatorial optimization, Monte Carlo methods, quantum-inspired algorithms, and applying these disciplines to enhance AI models
Programming experience in high-performance computing (HPC) environments
Experience with cloud computing platforms, GPU computing, or FPGA computing

What we offer:

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
April 23, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Research Scientist - Generative AI