Research Scientist - Summer Intern 2023

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, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate engineers to help us build and deploy state-of-the-art models across a variety of domains! Are you looking to solve hard problems and enjoy working with teammates’ with diverse perspectives? If so, we would love to help you excel here at Kensho. We are a collaborative group of experienced Machine Learning Engineers and Research Scientists, whose academic backgrounds include doctorate degrees in NLP, theoretical physics, statistics, etc. We take pride in our team-based, tightly-knit startup Kenshin community, which fosters continuous learning and a communicative environment – allowing us to tackle the biggest challenges in data. As an intern, you will have the opportunity to attend technical and non-technical discussions, as well as company-wide social events. At Kensho, we believe in flexibility-first, and we give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). Yet, we also value in-person collaboration, so interns are welcome and encouraged to work from the Cambridge HQ! At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. As we expand our R&D efforts, we are currently seeking a Research Scientist Intern to join our NLP team. You will actively conduct and publish research that concerns one or more of the following core NLP areas: - Structured document extraction and representation (including tabular data)- Summarization- Question Answering- Financial Language Modeling- Entity linking- Coreference resolution- Knowledge Graphs

Technologies & Tools We Use:

• ML: PyTorch, Weights & Biases, NetworkX
• Deployment: Airflow, Docker, EC2, Kubernetes, AWS
• Datastores: Postgres, Elasticsearch, S3

What You’ll Do:

• Move the needle on unsolved problems in cross-domain NLP by conducting original research – with the goal of publishing your work in a top conference
• Specifically, develop novel NLP algorithms and models using state-of-the-art techniques within deep learning
• Write clean, readable research code in PyTorch (not expected to write production-level code)
• Collaborate with other research scientists, engineering leaders, and product managers to identify the most promising problems to go after
• Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code

What We Look For:

• Currently enrolled in a PhD degree (e.g., Computer Science, Linguistics, or a related technical field) with the expectation of returning to school after completion of the internship
• Experienced and comfortable reading and writing research papers in Natural Language Processing
• Have published in top ML/NLP conferences (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML)
• Relevant work experience (e.g., via internships, full-time, or at a lab)
• Fluency in PyTorch