Kensho is a 100-person 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.
Kensho is seeking a Senior Machine Learning Engineer to join our NLP Team, a product and research organization applying and extending the state of the art of text and document-based AI across a variety of domains. The ideal candidate has deep industry or research experience and is a recognized expert in one or more core NLP fields and/or exciting recent developments, for example:
- Named entity recognition (NER) and Linking
- Extreme multiclass text classification
- Open-domain question answering
- Long-form summarization
- Parameter-efficient fine-tuning
- Large language model deployment
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 175k - 250k. 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.
What You’ll Do:
- Build and deploy NLP model architectures at scale using a modern software stack
- Help solve novel problems at the bleeding-edge of recent advances in NLPWork in a “fail-fast” culture that values scrappiness to prove out value and test out exciting new approaches
- Design and implement resilient systems for complex machine learning pipelines
- Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code
- Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!
- 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 successful candidates will fit the following profile, which reflects both our technical needs and team culture:
- You hold a degree in Computer Science, Applied Math, or a similar field. You have experience designing, and implementing ML systems and integrating them into existing application architectures. You have a successful track record training and deploying large ML models that can serve millions of daily requests. You have a deep understanding of what makes for well engineered software systems and understand that even superlative ML coupled with poor code will not go far. You prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently. You have a love for learning new skills and domains and share your knowledge freely, proactively, and effectively with others who are interestedYou are a generous and fun teammate and can take your work seriously without taking yourself too seriously.
- ML: PyTorch, Hugging Face, Weights & Biases
- Deployment: Airflow, Docker, AWS, Kubernetes
- Datastores: Postgres, Elasticsearch, S3
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 is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.
Kensho was founded in 2013 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 Global, 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.
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