AI Research Senior Associate - AI for Tech
- Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams.
- Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance.
- Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents.
- Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions.
- Master's degree in Computer Science, Statistics, Engineering, or related fields.
- Programming skills in Python.
- Proficient understanding of fundamental AI and ML techniques (e.g., A*, regularization).
- Practical experience with statistical data analysis and experimental design.
- Curiosity, creativity, resourcefulness, and a collaborative spirit.
- Effective verbal and written communication skills with technical and business audiences.
- Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
- Interest in problems related to the financial services domain (specific past experience in the domain is not required).
- PhD in Computer Science (especially AI/ML) or related fields.
- Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals).
- Strong expertise in specialized areas such as deep learning (DL) or natural language processing (NLP).
- Practical experience with ML platforms such as TensorFlow/Keras, PyTorch.
- Comfort with rapid prototyping and disciplined software development processes.
- Practical software engineering experience in collaborative project settings.
- Hands-on experience developing and using large language models in a professional setting.
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