Research Scientist - NLP

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**Company: 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. We are continuously expanding our portfolio and are looking for passionate researchers to help us create 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 Research Scientists and Machine Learning Engineers, whose academic backgrounds include doctorate degrees in NLP, theoretical physics, statistics, etc. We take pride in our team-based, tightly-knit startup-like Kenshin community, which fosters continuous learning and a communicative environment.

Since early-2022, we have been building a world-class R&D lab comprised of ML/NLP Research Scientists. Our small team has demonstrated compelling results and is fueling innovation throughout Kensho and S&P Global at large. Specifically, we are continuously building a domain-specific Large Language Model (LLM) and are actively working on question-answering (QA), summarization, and document layout analysis.

We are looking to hire NLP Research Scientists with expertise in any of the following: question-answering, summarization, dialog system, reinforcement learning, and distributed systems. In particular, we are currently prioritizing question-answering and are addressing:

-Dialog-based QA that leverages APIs, program synthesis, and large knowledge-graphs/databases to help ensure accurate answers -Long-form document QA, where the answer is expected to be contained within a user-specified collection of documents -Math-based QA, where the answer requires automatically parsing tables for relevant information and then performing basic mathematical operations to yield the correct answer (e.g, FinQA, TAT-QA, ConvFinQA)

You will collaborate with our R&D team in conducting and publishing research in the top conferences.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. 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 150k-225k. 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. Technologies & Tools We Use: ML: PyTorch, Weights & Biases, NetworkX Deployment: Airflow, Docker, EC2, Kubernetes, AWS Datastores: Postgres, Elasticsearch, S3 What You’ll Do: Collaborate with others to identify the most promising problems to pursue Develop novel, state-of-the-art NLP models that can scale to millions of documents Work closely with Research Scientists and ML Engineers Write clean, readable research code in PyTorch, TF, or JAX (not expected to write production-level code) Contribute to a stellar engineering culture that values excellent design, documentation, testing, and code Share your research results with your colleagues (presentations) and the world (published papers, patents, and blog posts) What We Look For: Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most of our successful candidates possess the following, which reflects both our technical needs and team culture: Hold a PhD in Computer Science or related field (or a Master’s with significant research experience) Have published in a top-tier ML/NLP conference (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML) Are proficient in writing code in PyTorch, Tensorflow, or JAX Have experience with the techniques required to work effectively with large, messy real-world data Prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently Have a love for learning new skills and domains Are excited to share knowledge freely, proactively, and effectively with others who are interested Are a generous teammate who takes work seriously without taking yourself too seriously

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