Hybrid AI/ML Research Engineer

at Hewlett Packard Enterprise

• Job title: AI/ML Research Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $136,500 - $276,500 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Milpitas, United States

About the role

• Research Engineer at HPE Labs pushing AI boundaries through generative models and algorithms. Collaborating across teams to drive innovation in high-performance AI research.

Responsibilities

• Conduct high-quality research in generative AI, including designing algorithms for multimodal data.
• Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities.
• Develop prototypes and proof-of-concept implementations to demonstrate research findings.
• 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 to share findings with the broader scientific community.
• Mentor junior researchers and engineers to foster a culture of knowledge sharing and collaboration.

Requirements

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or related fields.
• 3+ 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.
• Proven track record of research in generative models through first tier 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, 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.

Benefits

• Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
• Personal & Professional Development: Specific programs catered to helping you reach any career goals you have.
• Unconditional Inclusion: We celebrate individual uniqueness and value varied backgrounds.