250 - 500 employees
Public
Big Data & Analytics
Enterprise Software / SaaS
FinTech & Payments
Security

Kensho Company Overview

Kensho deploys scalable machine learning and analytics systems across the most critical government and commercial institutions in the world to solve some of the hardest analytical problems of our time.

Backed by investors as diverse as Google Ventures, Goldman Sachs, and In-Q-Tel (the venture capital arm of the CIA), Kensho was founded out of MIT and Harvard in 2013. Kensho’s team members come from veteran positions at Google, Apple, and Facebook, as well as academia.

We are a diverse and spirited group of engineers and scientists who are accomplished analytical thinkers and passionate problem solvers. Together, our multi-talented team includes one of the seven members of the original Apple iPhone engineering team, PhD physicists, Quantum Computing PhDs (including the creator of the world’s first solid-state two-bit quantum processor with electron spins), the co-founder of Nowcasting at Google, and one of the youngest-ever entrants to Harvard College (age 15).

We are proud of individual accomplishments, as well as the collaborative environment we’ve built, and what we’re capable of as a team.

Jobs at Kensho

 
3 Jobs Listed
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Cambridge
At Kensho, we hire talented people and give them the autonomy, support, and resources needed to build cutting edge technology and products for our parent company, S&P Global. As a result, we produce technology that is scalable, robust, and solves the challenges of one of the worlds largest, most successful financial institutions. As a Machine Learning Engineer, you will be responsible for tackling a wide range of problems from natural language processing to timeseries prediction. You will move beyond the theoretical confines of academia and apply your tradecraft to build machine...
Data Science / Machine Learning
Cambridge
At Kensho, we hire talented people and give them the autonomy, support, and resources needed to build cutting edge technology and products for our parent company, S&P Global. As a result, we produce technology that is scalable, robust, and solves the challenges of one of the worlds largest, most successful financial institutions. As a Senior Software Engineer on the Front End team, you will be responsible for working closely with the team lead to create and implement goals and objectives for the team, architecting large scale projects that impact the organization as a whole, being a "...
Software Engineering/QA
Cambridge
At Kensho, we hire talented people and give them the autonomy, support, and resources needed to build cutting edge technology and products for our parent company, S&P Global. As a result, we produce technology that is scalable, robust, and solves the challenges of one of the worlds largest, most successful financial institutions. Are you looking to make impactful, scalable contributions that could transform the way people think about data? If so, we would love to help you excel here at Kensho. We take pride in our team-based, tightly-knit startup Kenshin community that provides our...
Software Engineering/QA
17 Dunster St.
Cambridge, MA 02138
One World Trade Center
New York, NY 10006

Read About Us

Blog

January 13, 2020
Welcome! I’m Ray, a machine learning engineer at Kensho Technologies, working in research and development. I’m also often on Kaggle at ToTrainThemIsMyCause. At Kensho R&D, we spend a lot of time following recent research in ML and AI, parsing the useful developments from the extraneous and applying them to our projects. We mostly specialize in NLP, but are interested in almost everything in ML, from time series modeling to bots that play StarCraft.In R&D’s upcoming blog posts, we m...
November 18, 2019
Today, we are open-sourcing Bubs, a Keras/TensorFlow re-implementation of Flair’s contextualized embeddings, developed by the Kensho AI R&D Team for use as a building block in our natural language processing models. If you are interested in working on similar problems, we are hiring.Contextualized embeddings have become one of the most powerful tools in modern natural language processing (NLP). Flair by Zalando Research is one such popular embedding that has pushed forward the state of th...
September 4, 2019
What I learned at Kensho this summerI joined Kensho as a software engineering intern this summer and learned quite a bit. I thought it’d be nice to write about what helped me along the way. Instead of a laundry list of software I built, though, I’d rather go in depth about a few observations I made this summer.Gotta go fastA bit of context: this was my first time working at a tech company that had more employees than I can count on one hand. Up until this summer, nearly my whole understan...
July 22, 2019
A Day in the Life, a series started by Kensho’s Diversity and Inclusion committee, showcases Kenshins and their day-to-day experiences. Check out the Kensho Blog for more Day in the Life posts.My day starts at 6:15 am. I’m finding it easy to be a morning person lately with these long summer days and early morning sunshine. I stay in bed for a few minutes catching up on my news feed, social media and email. A few interesting new leads came in from the website while I was sleeping, which is a...
March 4, 2019
Separation of Concerns in Machine Learning Systems at ScaleWe love scikit-learn! Let me say it again- we love scikit-learn. It puts machine learning methods at our fingertips and simplifies chaining together complex models to understand our data. In fact, scikit-learn makes it almost too easy to use machine learning methods. You can call fit() with a neatly packaged estimator so quickly on some raw data that it’s easy to overlook data exploration. However, there are several design choices in ...