Instabase offers a fresh look at how companies reinvent their operations and strategy, defining a new category of what comes next in the cloud computing stack.
Application Engineer East Bay, CA, United States, New York, NY, United States, San Francisco, CA, United States, or Silicon Valley, CA, United States
Application Engineer New York, NY, United States
FDE San Francisco, CA, United States
Infrastructure Backend Engineer San Francisco, CA, United States or Silicon Valley, CA, United States
Software Engineer San Francisco, CA, United States or Silicon Valley, CA, United States
Software Engineer - Back End San Francisco, CA, United States
Software Engineer - Backend New York, NY, United States
Software Engineer - Front End San Francisco, CA, United States
Software Engineer - Front-End New York, NY, United States
We have seen great customer traction and our product is used by many of the top finance institutions.
We have a strong engineering team with people from top CS schools such as MIT, Stanford, Berkeley and years of work experience at large tech companies like Google, Facebook and Github.
We have grown rapidly (more than doubling from 16 to 39 in 6 months), continued to see more support from investors (a16z, NEA, Index, Greylock), and developing a customer pool that scales beyond financial services (insurance, logistics, etc).
Our engineering team is divided into infrastructure, product platform and application teams. Each team plans tasks around quarters and weekly sprints. Once a week, we have a company all-hands where we discuss top priorities like specific customer proof-of-concepts (POCs) and hear updates from all the teams. We are continually improving our processes around code reviews, documentation, testing, QA, CI/CD and developer tooling. We currently release code to our enterprise customers every 2 weeks.
Many of our technical challenges relate to extracting structure data from messy real-world documents. One of our first applications was a tool to automatically generate programs for extracting data from a few training examples. Our customers are looking for state-of-the-art machine learning and image processing solutions to their document recognition problems.
Our infrastructure team is constantly upgrading our systems to meet growing customer demands, from processing throughput to handling 10k+ page documents, as well as handling an increasingly diverse set of applications. Our applications range from NLP-based content analysis to image recognition problems requiring image processing and deep learning.
Search for news articles connecting our customer to certain topics (e.g. data privacy, class-action lawsuits), and detect negative vs. positive sentiment.
Create common frontend components for viewing and annotating documents that can be shared across all our document-based applications.
Train a state-of-the-art OCR model using synthetic and open-source datasets and deep learning techniques.
We are an engineering driven organization. Given our distributed teams, we value transparency, communication and ownership. As we add more people, we look to see new team members to help us evolve our culture.
We offer a 401(k) plan with no matching at the moment.
We cover lunch every day up to $25!
We allow well-behaved dogs in our New York office!
We give our employees a $200 stipend each month to cover gym memberships and workout classes!
Unlimited PTO policy with a 15 day minimum usage
In some roles, we have needs to be at customer sites as well as other Instabase office locations.
We have great commuter benefits.
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