Artificial Intelligence Researcher

Artificial Intelligence Researcher (LLM Fine-Tuning Specialist)

Solomei AI creates a new generation of websites, combining human creativity and advanced AI. Our platform leverages AI agents built on advanced AI technologies, enabling dynamic and effective content presentation. As we continue to grow, we're seeking talented individuals who are excited to innovate at the intersection of human creativity and artificial intelligence.

Complex Problems You’ll Be Leading

• Design, build, and maintain high-quality datasets specifically tailored for fine-tuning transformer-based LLMs (LLaMA, Mistral).
• Develop and manage sophisticated fine-tuning pipelines (LoRA, QLoRA, PEFT), ensuring performance, scalability, and deployment efficiency.
• Solve optimization challenges in fine-tuning, including parameter-efficient techniques and distillation strategies.

In This Role, You Will

• Lead and implement advanced fine-tuning and distillation techniques (e.g., LoRA, QLoRA, adapter modules) on transformer architectures.
• Oversee dataset quality assurance processes explicitly for transformer fine-tuning tasks.
• Create rigorous evaluation frameworks to benchmark model accuracy, efficiency, and robustness post-fine-tuning.
• Collaborate directly with GPU cloud providers to optimize LLM training and inference.
• Collaborate with product teams, translating product goals into technical fine-tuning requirements.

You Are a Great Fit If You Have

• Master or PhD or in Computer Science, Applied Mathematics, or related fields.
• 3+ years leading large-scale data initiatives, including pipeline architecture and quality assurance.
• Proven expertise applying parameter-efficient fine-tuning techniques such as LoRA, QLoRA, PEFT, adapters, etc.
• Advanced proficiency with PyTorch, Hugging Face, and cloud-based deployments.
• Proven leadership and independent project management skills.