Research Machine Learning Scientist working with real-world datasets at a leading global financial institution. Collaborating with engineering teams to advance machine learning techniques for banking products.
Responsibilities
Join a world-class team of machine learning researchers with an extensive track record in both academia and industry
Research, develop, and apply new techniques in deep learning to advance our industry leading products
Work with large-scale, real-world datasets that range from banking transactions to large document collections
Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround
Grow your expertise by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
Represent the team at leading ML conferences, present your research, and stay at the forefront of the field
Requirements
PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field
Strong background in machine learning and deep learning
2+ years of research experience with publication record
Proven track record of applying machine learning to solve real-world problems
Depth of experience in relevant ML research disciplines
Hands on experience in software systems development
Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
Experience with Spark, SQL, or comparable database systems
Experience using GPUs for accelerated deep learning training
Familiarity with cloud computing systems like Azure or AWS
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