Artificial Intelligence Researcher

AI Researcher Job Description

We are seeking an exceptional AI researcher to lead cutting-edge research in AI-powered sign language production and generation technologies at Silence Speaks.

The ideal candidate will:

• Hold a Masters/PhD in Computer Science, Artificial Intelligence, Computer Vision, Linguistics, or a closely related field
• Have extensive experience in deep learning, particularly with Large Language Models (LLMs), multimodal AI, and neural networks
• Demonstrate expertise in computer vision, especially in pose estimation, object detection, and 3D object manipulation
• Have a strong background in linguistics related to sign languages
• Possess a keen eye for research, evidenced by a strong publication record in top-tier AI conferences and journals
• Have experience leading research projects and mentoring junior researchers

Key Responsibilities:

• Design, execute, and analyze experiments both autonomously and collaboratively, with a focus on sign language production and generation
• Develop novel algorithms for sign language recognition, synthesis, and translation using state-of-the-art AI techniques
• Implement and optimize transformer-based architectures and Stable Diffusion models for efficient sign language processing
• Study, debug, and optimize model performance and computational efficiency
• Contribute to the training and inference infrastructure for large-scale sign language models
• Provide consulting and strategic advice on the use of LLMs, multimodal AI, and neural networks in sign language applications
• Train and mentor masters students and interns, assigning tasks and monitoring their development
• Lead major model training runs and demonstrate a thorough understanding of deep learning architectures
• Develop methods for safe deployment of LLMs in real-world sign language translation applications
• Publish high-impact research findings in top-tier conferences and journals

Required Technical Skills:

• Proficiency in PyTorch, TensorFlow, and other deep learning frameworks
• Expertise in computer vision techniques, including pose estimation, object detection, and 3D object manipulation
• Experience with GPU programming and optimization techniques
• Familiarity with LLMs, Stable Diffusion, and video generation technologies
• Strong programming skills in Python and C++
• Experience with MLFlow, Slurm, Poetry, and Docker for experiment management and deployment