Hewlett Packard Enterprise · 3 months ago
Hewlett Packard Labs -- Senior AI/ML Research Scientist
Milpitas, California, United States of America
Full-time
Hybrid
Senior Level
$134K/yr - $307K/yr
5+ years expHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking a Senior AI/ML Research Scientist to conduct high-quality research in generative AI, design and implement new algorithms, and collaborate with cross-functional teams to develop innovative AI systems.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
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
Qualification
Required
PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
5+ years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Experience with test-time compute techniques, such as chain-of-thoughts, self–consistency, or reinforcement learning based verifiers, etc
Proven track record of research in generative models, demonstrated through first tier publications (e.g., NeurIPS, ICML, ICLR, or high impact journals), 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
Preferred
Knowledge of computational physics, statistical physics, many-body physics simulations, or quantum computing, and how to apply these principles to develop innovative AI algorithms and models
Proficiency with hosting and operating locally generative AI models, through frameworks such as ollama, vllm, etc
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
Benefits
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
10001+ employees
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Antonio Neri
President & CEO
Fidelma Russo
EVP & GM, Hybrid Cloud and Chief Technology Officer
Recent News
2026-01-09
2026-01-09
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