Degree in Artificial intelligence- AI
Apache Airflow, AWS, Docker, HuggingFace, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Neural Networks, Python Programming, Scikit-learn, Statistical modeling, statsmodels
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 (NED), structured document extraction, record linkage, 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.
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.
As a Machine Learning Engineering Manager you will be responsible for driving machine learning efforts as they relate to applied research and productionizing machine learning models to power Document Intelligence solutions. You will ensure the team is making measurable progress towards their goals, engaged & maintaining a healthy velocity, and you’ll provide technical insights and contributions to the team as well.
What You'll Do:
Who You Are:
Technologies We Love:
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
Kensho deploys scalable machine intelligence 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.
Washington D.C., DC, USA
2-4 year
New York, NY, USA
2-4 year
Cambridge, MA, USA
2-4 year
New York, NY, USA
2-4 year