Computer Scientist

TDMM Artificial Intelligence team is looking for a passionate, talented, and inventive Computer Scientist with a strong applied mathematics background, to build industry-leading technology with Foundation models including multimodal systems and the opportunity to contribute to our AI initiatives and drive innovation in financial services.

Key job responsibilities:

• Leverage TDMM diverse multimodel financial data sets along with large-scale computing resources to fast-track advancements in LLMs, and multimodal systems, ensuring our model team stays at the forefront of innovation in science and help our clients.
• Work with large teams, including external collaborators
• Present research findings

Basic Qualifications:

• PhD, or Master's degree and 3+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• Experience programming in Python or related language
• Experience with neural deep learning methods and machine learning Experience with neural deep learning methods and machine learning
• Experience with data-driven model development, time series analytics, stochastic optimisation, predictive analytics, uncertainty quantification, and more.

Preferred Qualifications:

• PhD in Computer Science, Mathematics or related field
• Experience with LLMs or vision-based transformers and multimodal architectures
• Thorough understanding of AI/ML technology stack
• Experience in CNN, Transformer and Graph Neural Network.
• Experience with basic Reinforcement Learning algorithms
• Experience with generative deep learning models applicable to the creation of synthetic data like CNNs, GANs, VAEs, etc.
• Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• Experience with cross-domain/multi-task model training including datasets from diverse sources, balancing many axes of measurement in evaluation, and deploying to multiple products.
• Experience in publications at top-tier peer-reviewed conferences or journal

Basic Qualifications

• Bachelor's degree and 3+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• Experience programming in Python or related language
• Experience with data-driven model development, LLMs, fine-tuning LLMs
• Experience with API, application developments with AI models