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.
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