Founded in 2015, Instabase's mission is to advance the state of the art by building tools that help people solve important problems, make discoveries, and create new breakthroughs.
Instabase is an operating system designed for operational efficiency. It uses the web browser as the user interface, a pluggable storage system for managing data (files and databases), and an app store for applications. These applications run on the Instabase Platform, which provides the core management capabilities for managing diverse, distributed datasets; support for collaboration and access control; and a runtime for Instabase Applications.
The applications include state of the art tools for  processing a diverse set of unstructured data (scanned images, PDFs, word/excel documents, emails, websites, etc.),  running extensible functions with a server-less framework,  machine learning (natural language processing, image processing, classification, clustering, etc.), and  data science.
Our customers include large enterprises with huge operational costs in a variety of domains, such as financial services (e.g. banks, insurance), healthcare, logistics/supply chain.
As a non-profit initiative, Instabase provides a hosted IPython-style notebook for education, which is widely used by universities (Stanford, MIT, Columbia, University of Chicago, etc.), for teaching classes.
Instabase depends upon a wide range NLP-related capabilities: information extraction, summarization, sentiment analysis, entity and role extraction, as well as document-scale operations such as classification and clustering. We are looking to add a senior engineer to our team with experience both in classical NLP as well as fluency in modern deep learning-based approaches.
As a Senior NLP Engineer, you will be responsible for pursuing excellence across these NLP tasks as a core contributor, while also serving as an NLP mentor and guide more broadly. Your work will range from platform-level thinking (designing pluggable pipelines and representations), task-centric thinking (improving specific capabilities), to consulting-style advice for our forward deployed engineering teams.
- Design, maintain, and improve NLP pipelines and models
- Identify benchmark datasets relevant to different industries and use-cases and work towards production-quality performance on them
- Devise clever ways to extract information from documents that rely on targeted human participation
- Fluent and creative with Deep Learning
- Fluent with the core, classic NLP tasks
- Excellent with Python
- Meticulous at designing, scoping, and conducting data-driven experiments
- Enjoys challenging but rewarding algorithmic problems
Instabase is an equal opportunity employer and values diversity in all forms. Instabase does not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability, or any other unlawful factor. Instabase also complies with local laws, including the San Francisco Fair Chance Ordinance.