Backend Software Engineer II - Kensho

Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.  We are owned by S&P Global and operate independently.  Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more.

Kensho’s Applications group develops the web apps and APIs that deliver Kensho’s AI capabilities to our customers.  Our teams are small, product-focused, and intent on shipping high-quality code that best leverages our efforts.  We’re collegial, humble, and inquisitive, and we delight in learning from teammates with backgrounds, skills, and interests different from our own.

As a Backend Engineer II on the Emerging Applications team, you will develop the software behind our reliable, secure, and performant APIs. You will collaborate with colleagues from Machine Learning, Product, and Infrastructure, as well as with other engineers within the Applications team. You have experience deploying production code in highly scalable distributed systems. You are a thoughtful, deliberate technologist and share your knowledge generously.

At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States).  We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 130k-175k.  In addition, this role is eligible for an annual incentive bonus and equity plans.  At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.