We're looking for a dedicated AI Research Scientist to delve into the latest advancements in NLP, computer vision, speech, and multi-modal learning. You'll be responsible for translating cutting-edge research into practical, high-performance AI models.

Your Responsibilities:

• Comprehensive Research: Conduct in-depth research into state-of-the-art AI, staying current with academic papers and exploring novel architectures.
• Model Development: Design, prototype, and implement advanced AI models, including fine-tuned LLMs, vision-language systems, and multi-modal integrations.
• Rigorous Evaluation: Develop and execute comprehensive training and evaluation pipelines to ensure optimal model performance.
• Engineering Collaboration: Partner with engineering teams to integrate research into production-ready systems.
• Multi-Modal Expertise: Leverage expertise in various modalities (text, images, audio) to develop robust AI solutions.
• (Optional) Foundational Research: Contribute to fundamental AI research and publish findings in leading journals and conferences.

Requirements:

• Minimum 3+ years of professional experience in applied AI research and development, with a proven track record of implementing and evaluating novel AI models.
• Deep understanding of state-of-the-art AI research across NLP, computer vision, speech, and multi-modal learning, evidenced by a consistent track record of staying current with relevant publications and advancements.
• Demonstrated expertise in developing and prototyping AI models, including fine-tuning and extending Large Language Models (LLMs), building vision-language models, and creating multi-modal systems that combine text, images, and audio.
• Proficiency in designing and implementing robust training pipelines and conducting rigorous evaluations to optimize model performance in practical settings.
• Strong programming skills in Python and experience with relevant AI frameworks (e.g., TensorFlow, PyTorch, Transformers).
• Proven ability to collaborate effectively with engineering teams to integrate research breakthroughs into product development.
• Flexibility and adaptability to work across diverse AI domains and modalities, with a problem-solving approach that prioritizes finding the most effective solution.
• (Optional) Experience contributing to foundational AI research and publishing papers in reputable conferences or journals.