Hewlett Packard Labs -- Senior AI/ML Research Scientist at Hewlett Packard Enterprise

Santa Barbara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Expertise in generative AI, including Large Language Models (LLMs), diffusion models, autoregressive models, and multimodal data
Experience with pre-training, fine-tuning, post-training, retrieval augmented generation, in-context learning, and inference in generative models
Knowledge of symbolic AI, physics simulators, statistical physics, and non-equilibrium thermodynamics
Proficiency in developing and prototyping algorithms for Energy-Based Models
Ability to conduct high-quality research and publish in top-tier journals and conferences
Strong collaboration skills with cross-functional teams (engineers, researchers, product managers)
Capability to mentor junior researchers and engineers
Engagement with the academic community (attending conferences, workshops, seminars)
Staying current with latest AI research and trends

Responsibilities

Conduct high-quality research in generative AI, designing algorithms for pre-training and post-training autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs
Develop and prototype novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning for generative models
Develop algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to new products or enhancements
Publish research papers in top-tier journals and conferences
Stay abreast of latest AI research and trends, identifying innovation opportunities
Mentor junior researchers and engineers
Develop prototypes and proof-of-concept implementations

Skills

Key technologies and capabilities for this role

AIMachine LearningGenerative AILLMsDiffusion ModelsScientific Computing

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This role is designed as ‘Hybrid’ with an expectation to work on average 2 days per week from an HPE office.

What is the salary or compensation for this role?

This information is not specified in the job description.

What key skills are required for the Senior AI/ML Research Scientist position?

The role requires expertise in generative AI, including designing algorithms for pre-training and post-training of autoregressive and diffusion models, as well as experience with LLMs, symbolic AI, physics simulators, statistical physics, and non-equilibrium thermodynamics.

What is the company culture like at Hewlett Packard Enterprise?

The culture thrives on finding new and better ways to accelerate what’s next, values diverse backgrounds, offers flexibility to manage work and personal needs, encourages bold moves together, and embraces career growth.

What makes a strong candidate for this research scientist role?

Strong candidates will have deep expertise in generative AI research, experience developing LLMs and diffusion models through full cycles of pre-training, fine-tuning, and inference, and the ability to collaborate in a multidisciplinary team on scalable AI systems.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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