The Data Science/Data Analytics team is looking for talented Natural Language Processing (NLP) scientists and engineers to help build this vision. You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never before seen insights, and construct APIs to deliver our product vision.

This position can be worked remotely, but you should be comfortable working on New York time.

Responsibilities

• Develop and deploy state-of-the-art Natural Language Processing capabilities
• Build and maintain distributed machine learning pipelines
• Analyze and propose technical solutions to invent, enable, and enhance our product offerings
• Be responsible for automating, testing, and deploying your work
• Collaborate with fellow engineers and data scientists across the organization

About You

• BS, MS or PhD degree in Computer Science, Data Science, or equivalent experience
• You have 3-10 years of real-world professional experience writing scalable NLP software
• You have experience developing capabilities to extract insights on diverse and incomplete language sets
• You have a track record of ownership and delivery of projects with major organizational impact
• You care deeply about engineering excellence, clean code, and knowledge-sharing
• You have strong written and verbal communication skills

Nice to have, but not required

• Experience with Python Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe)
• Experience with container technologies like Docker and Kubernetes
• Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

• Languages: Python, Go, Java
• Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS
• Datastores: Elasticsearch, Postgres, Redshift, Neo4j
• Frameworks: BERT, LSTMs, CRFs, LDA