Hewlett Packard Labs - Senior AI/ML Research Scientist

Zerto; Deutschland; Hybrid; EUR 112.000 - 260.000; Vollzeit

Zusammenfassung

A leading global technology company seeks a Senior AI/ML Research Scientist to innovate in generative AI. The candidate will develop algorithms and models, collaborate with teams, and publish research. This hybrid role requires a PhD and extensive experience in AI model training. A competitive salary range of $133,500 - $307,000 is offered.

Leistungen

Comprehensive benefits package

Professional development programs

Flexible working arrangements

Qualifikationen

• 5+ years of experience in generative AI model training.
• Proven publication track record in AI research.
• Creative and analytical thinking skills.

Aufgaben

• Conduct high-quality research in generative AI.
• Mentor junior researchers and engineers.
• Collaborate with teams to develop new products.

Kenntnisse

Experience training generative AI models

Proficiency in Python

Strong communication skills

Ausbildung

PhD in Computer Science or related field

Tools

TensorFlow

PyTorch

Jobbeschreibung

Overview

Hewlett Packard Labs -- Senior AI/ML Research Scientist. This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week 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 values diversity, flexibility, bold collaboration, and a shared commitment to doing good. If you are looking to stretch and grow your career, our culture will embrace you. Open up opportunities with HPE.

Job Description

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 values diversity, flexibility, and bold moves together as a force for good. If you are looking to stretch and grow your career, our culture will embrace you. Open up opportunities with HPE.

In the Emergent Machine Intelligence Team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what’s possible with artificial intelligence. As a Senior Research Scientist, you will be at the forefront of our efforts to develop groundbreaking generative AI models. You will craft cutting-edge algorithms and applications by augmenting state-of-the-art LLMs with extensive test-time compute, adopting tools from symbolic AI, incorporating physics simulators, and employing insights from statistical physics and non-equilibrium thermodynamics. You will work closely with a multidisciplinary team of engineers, researchers, and product managers through full development cycles of pre-training, fine-tuning, and inference to build scalable, efficient, and innovative generative AI systems.

Key Responsibilities

• Conduct high-quality research in generative AI, including designing algorithms for pre-training and post-training for autoregressive and diffusion models on multimodal data.
• Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities.
• Develop and prototype novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning for various generative models.
• Develop 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 and share 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 research potential.
• Engage with the academic community by attending conferences, workshops, and seminars.

Required skills and experience

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or related field.
• 5+ years of experience 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-thought, self-consistency, or reinforcement learning based verifiers.
• Proven track record of research in generative models with strong publications, patents, or publicly available projects.
• Proficiency in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of machine learning algorithms and principles in the context of generative AI.
• Solid mathematical background with skills in statistics, probability, and linear algebra.
• Creative and analytical thinking with a passion for solving complex problems.
• Excellent communication skills for technical and non-technical audiences.

Desired skills and experience

• Knowledge of computational physics, statistical physics, many-body physics simulations, or quantum computing and how to apply these to AI.
• Experience hosting and operating locally generative AI models with frameworks such as ollama, vllm, etc.
• Background in discrete optimization, combinatorial optimization, Monte Carlo methods, quantum-inspired algorithms, and applying these to AI models.
• Programming experience in high-performance computing environments.
• Experience with cloud computing platforms, GPU computing, or FPGA computing.

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 provide a comprehensive benefits package supporting physical, financial, and emotional wellbeing.

Personal & Professional Development

We invest in your career with programs to help you reach your goals, whether you pursue expertise or apply skills to other divisions.

Unconditional Inclusion

We are unconditionally inclusive in how we work, value varied backgrounds, and offer flexibility to manage work and personal needs.

Let’s Stay Connected

Follow HPE Careers on social channels to learn about people, culture and tech at HPE.

Salary: USD Annual Salary: $133,500.00 - $307,000.00

EEO notice

HPE is an Equal Employment Opportunity employer and we do not discriminate on the basis of race, gender, or any other protected category. We are committed to an inclusive environment and to complying with all applicable laws related to employment, including consideration of applicants with criminal histories where permitted by law.