Uncubed
   

Senior Machine Learning Engineer – Document Intelligence

Kensho, New York City, NY

GLOBAL ANALYTICS TECHNOLOGY THAT BRINGS TRANSPARENCY TO COMPLEX SYSTEMS

Duration: Full-Time


Who We Are

Kensho is a 100-person AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking (Named Entity Disambiguation), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us build and deploy state-of-the-art models across a variety of domains!

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 (NY/DC/MA) will be required for team meetings or company events.

About The Role

Our Document Intelligence team is a group of outstanding ML practitioners that aims to extract, structure, and understand the information contained inside unstructured documents.

The team is building state-of-the-art ML solutions for a wide range of complex problems, including information extraction from document text and tables, document layout analysis, optical character recognition (OCR), and more. These solutions power our customers’ data operations (including S&P Global’s), and serve as the foundation for Kensho’s natural language processing  products, such as NERD and Classify.

The Document Intelligence team works closely with the Data, Product, Backend & Frontend teams, and has the full support of our ML operations and Infrastructure teams.

We are currently seeking a Senior ML Engineer to help accelerate our model development cycle and continually raise the standards of prototyping, building and maintaining state-of-the-art ML solutions.

What You’ll Do

  • Design, build and maintain scalable production-ready ML systems for document understanding tasks
  • Collaborate closely with other ML engineers to build ML pipelines for data processing, training, inference and evaluation
  • Actively participate in the ML model lifecycle, from problem framing to deployment and monitoring in production
  • Work with unique proprietary datasets of millions of unstructured documents
  • Work closely with Product, ML Operations, Backend & Frontend teams to deliver ML-based solutions to customers
  • Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!

Who You Are

  • Are an expert in document understanding, information retrieval, OCR, or a related domain
  • Have 3+ years of significant, hands-on experience with ML/NLP (e.g., designing, shipping, and maintaining production systems) 
  • Are comfortable with modern tools for building ML pipelines, including data processing, training, inference and evaluation
  • Have expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)
  • Demonstrate effective coding, documentation, and communication habits
  • [optionally] Have published in top-tier journals & conferences in document understanding, information retrieval, OCR, or a related domain

Technologies We Love

  • ML: PyTorch, DGL, HuggingFace, XGboost, Weights & Biases
  • ML models: graph neural nets, document-aware transformer models (LayoutLM), object-detection image models (Detectron)
  • Deployment: Airflow, Docker, AWS
At Kensho, we pride ourselves on providing top-of-market benefits, including:
 
-       Medical, Dental, and Vision insurance 
-       100% company paid premiums
-       Unlimited Paid Time Off
-       26 weeks of 100% paid Parental Leave (paternity and maternity)
-       401(k) plan with 6% employer matching
-       Generous company matching on donations to non-profit charities
-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
-       Plentiful snacks, drinks, and regularly catered lunches
-       Dog-friendly office (CAM office)
-       In-office gyms and showers (CAM, DC)
-       Bike sharing program memberships
-       Compassion leave and elder care leave
-       Mentoring and additional learning opportunities
-       Opportunity to expand professional network and participate in conferences and events 
 
About Kensho
Kensho uses machine learning, artificial intelligence, natural language processing and data visualization techniques to solve some of the hardest analytical problems and create breakthrough financial intelligence solutions for our parent company, S&P Global. 
 
Kensho was founded in 2013 by Harvard & MIT alums and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.
 
We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
 

About Kensho

Kensho is a Data Analytics and Machine Intelligence Company 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.

Want to learn more about Kensho? Visit Kensho's website.