ML Postdoc Researcher - Deep Learning - Llms & Generative AI

ML Postdoc Researcher – Deep Learning – Llms & Generative AI

Ph.D. in Computer Science, Electrical Engineering, or a related quantitative field, with a focus on deep learning over structured data, Large Language Models (LLMs), multi-modal foundation models etc.
Strong theoretical and practical background in deep learning including experience with state-of-the-art architectures like Transformers.
Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.)
Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in solving difficult problems
Strong communication skills and the ability to work effectively in a collaborative research environment.

Collaborate with researchers and engineers to design, develop, and refine deep learning models (including LLMs) using Structured, Unstructured and multi-modal data for various applications.
Utilize your expertise in deep machine learning to develop novel algorithms and methodologies that are at the center of AI-based end-to-end solutions.
Implement, train, and fine-tune deep learning models on large-scale datasets to ensure optimal performance and accuracy.
Stay up to date with the latest research advancements and techniques in the field.
Deliver the next generation of innovation in trustworthy healthcare.

Experience with distributed parallel training, large-scale multi-modal foundation and generative models
Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
A track record of publications and contributions to the machine learning and natural language processing communities