Artificial Intelligence Researcher (Hiring Immediately)

Artificial Intelligence Researcher (Hiring Immediately)

01.03.2025

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Full Job Description

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

The ideal candidate will:

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

Key responsibilities:

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

Required technical skills:

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

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