Senior AI Researcher
5 days ago
Key Responsibilities:
- Design and develop transformer-based models for multiple-modality to support a variety of AI-powered applications.
- Experiment with various architectures, training techniques, and optimization methods to improve the model's understanding and generative capabilities.
- Innovate robust and scalable architectures to accommodate future requirements.
- Troubleshoot and debug model issues, ensuring the models remain robust and effective.
Requirements:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields (PhD preferred).
- Proven experience in training models (both text and multi-modal models).
- Strong knowledge of transformer architectures and their underlying principles.
- Experience with model pre-training, finetuning, and distributed training.
- One or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS).
Why EdgeVerve:
- Collaborate with an innovative team on cutting-edge projects pushing the boundaries of artificial intelligence.
- Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI.
- Competitive compensation and benefits package.
- Flexible work environment, with remote work options available.
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