Developing machine learning and artificial intelligence solutions for the financial industry, Kensho empowers a best-in-class team of engineers. Operating independently within S&P Global, Kensho leverages its parent company’s unstructured data — including audio, video, images and text — while building and deploying AI tools to extract, structure and understand that data. The goal: make it accessible and transformative to decision-makers across industries. “The caliber of the problems we’re trying to solve has remained consistently high,” one team member said. “The challenging nature of these problems, in addition to our amazing teams and culture, is what makes Kensho such a special place for ML engineers and scientists alike.”

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Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
As a Senior Backend Engineer at Kensho, you will design and develop reliable APIs to integrate AI capabilities into customer workflows. Collaborate with cross-functional teams to establish API specifications and manage project deliverables, ensuring high-quality software delivery. Actively engage in code reviews and mentoring to foster technical excellence within the team.
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
As a Graphic Designer at Kensho, you will be responsible for maintaining visual brand identity, creating engaging materials, and managing design projects including presentations and website redesign. You will collaborate with cross-functional teams to translate complex concepts into clear visuals, enhance the company's visual impact, and produce various graphic materials.
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
As a Security Software Engineer at Kensho, you will be responsible for building frameworks for internal use and collaborating with various teams. This role focuses on developing backend components, enhancing system efficiency, and participating in design reviews to support machine learning projects while allowing for personal and professional growth through diverse learning opportunities.