Team Lead - NLP
Washington DC
Kensho
Kensho develops cutting-edge products and technologies that transform businesses. We are the AI Innovation Hub for S&P Global.We are currently seeking a Team Lead for the Natural Language Processing (NLP) team, a product and research organization applying and extending the state of the art of textual and document-based AI across a variety of domains. The ideal candidate has industry experience in one or more core NLP fields, for example:
-Named entity recognition (NER)-Entity linking and coreference resolution-Extreme multiclass text classification-Open-domain question answering-Relationship and fact extraction-Financial NLP
What You'll Do
- Manage a dedicated team of ML scientists and ML engineers who design, build and maintain state-of-the-art NLP capabilities that power Kensho’s products
- Ensure that the team builds production-ready modeling code that can be scaled out to billions of documents and millions of users
- Collaborate with the product, go-to-market, and engineering leaders to define the team’s strategic vision and the most promising problems to go after
- Partner with Head of AI research to conduct original research in cross-domain NLP
- Grow, mentor, coach and develop your team members both professionally and technically
- Partner with our talent acquisition team to hire ML scientists and engineers to expand the NLP team
- Be hands-on to the extent that it makes sense for your team
Who You Are
- Have 6+ years of industry experience in one or more core NLP fields
- Have 2+ years of management experienceHave experience mentoring and/or building a team of engineers
- We are looking for someone who can think long term about hiring and training
- Have experience partnering with a product manager
- Have a deep understanding of modern ML system design, from problem framing to deployment and monitoring in production
- You are a thoughtful and collaborative code reviewer and teammate
- You are highly organized and task-oriented
- Measure your professional success by your team’s success
Technologies We Love
- ML: Pytorch, Huggingface, NetworkX, Weights & Biases
- Deployment: Airflow, Docker, EC2, Kubernetes, AWS
- Datastores: Postgres, Elasticsearch, S3
Tags: Airflow AWS Classification Data visualization Docker EC2 Elasticsearch Engineering HuggingFace Kubernetes Machine Learning NLP PostgreSQL PyTorch Research
Perks/benefits: Career development Conferences Health care Medical leave Parental leave Pet friendly Startup environment Team events Unlimited paid time off
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