Search the 8 jobs at Kensho Technologies

Backend Software Engineer II at Kensho, responsible for developing reliable, secure, and performant APIs for AI capabilities. Collaborate with ML, Product, and Infrastructure teams. Flexible work location within the United States.

Kensho is looking to hire Research Scientists with expertise in NLP, specifically in question-answering, summarization, dialog system, reinforcement learning, and distributed systems. The role involves conducting and publishing research in top conferences and collaborating with the R&D team at Kensho.

Develop reliable, secure, and performant APIs that apply AI capabilities to specific customer workflows. Collaborate with cross-functional teams and demonstrate technical depth in at least one domain.

Collaborate with ML teams to plan data labeling projects, extract and load data, monitor offshore labelers, create datasets, analyze data, train labelers, and assist with high-visibility projects. Also responsible for training S&P auxiliary labeling team. Must have 2+ years of dataset experience and 0-1 years of management experience.

Kensho is seeking a Senior Research Scientist to work on cutting-edge solutions in Machine Learning and Natural Language Processing. The role involves creating state-of-the-art models in various domains, collaborating with a team of experienced researchers and engineers, and contributing to ongoing projects and innovation within the company.

Seeking a Senior ML Engineer to accelerate and improve ML development cycle, design Large Language Model-based systems, solve unique challenges, work with proprietary data, and collaborate with cross-functional teams to deliver innovative ML solutions.

Seeking a mid-level Machine Learning Engineer to design and develop Large Language Model-based systems that integrate structured and unstructured data, solve unique challenges around LLM-orchestration, and actively participate in all stages of the ML lifecycle.

Collaborate with business, product, and engineering leaders to define project requirements, scopes, timeline, and impact. Lead the S&P Global AI Accelerator program to identify, prioritize, and facilitate high-value AI initiatives. Responsible for creating project trackers, running check-in meetings, and fostering a culture of accountability and continuous improvement.