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askSpoke

New York, NY, Remote, and San Francisco Bay Area, CA
26 - 50 employees
The smarter way to manage workplace requests
askSpoke’s mission is to make sharing knowledge and managing workplace requests a simple and delightful experience. We do this through thoughtfully designed product experiences, enhanced with elegant and robust AI.
Role for: Back-End Engineer Full-Stack Engineer Generalist Engineer ML Engineer / Data Scientist
Technologies: Node.js Express Angular.js MongoDB Flask Python Elastic Search Tensorflow Scikit-Learn Numpy Google Cloud Redis WebSockets Kubernetes Prometheus Docker React XGBoost PostgreSQL CircleCI

Project N

San Francisco Bay Area, CA
< 10 employees
Redefining possible for your data-driven business.
We're a stealth startup building radically new systems and software that solve some of the most complex data problems on the planet. It starts by drilling down to the lowest order bit, asking fundamental questions, and rapid experimentation. The outcomes are powerful tools that redefine how businesses harness their massive swaths of data to innovate, better and faster.
Role for: Back-End Engineer Generalist Engineer Low-Level Systems Engineer
Technologies: Go Kubernetes Docker AWS Google Cloud Azure Prometheus C C++

Better

New York, NY
251 - 500 employees
Fixing the $15T mortgage industry
We are building a better way to get a mortgage. Fully online, with no commissioned sales people. We fetch data from APIs instead of asking users to upload a million docs. We evaluate 1000s of rules automatically to match users with capital. Using automation we can lend money in a fraction of time and with a fraction of the cost of a traditional lender. The end result is lower rate, better experience, and a much faster process.
Role for: Back-End Engineer Full-Stack Engineer
Technologies: Node.js Python Scala Kubernetes Redshift JavaScript TypeScript React Prometheus Docker

LeapYear

11 - 25 employees
Unlocking the value of restricted data
LeapYear solves a hard problem that impacts every data-driven industry – enabling secure machine learning on sensitive data. Our long-term mission is to enable access to any data with the highest standards of privacy and security. Our team has built the first enterprise platform for differentially private machine learning, drawing from the latest research in cryptography, machine learning, and information theory. Technologies: Haskell Scala Apache Spark GraphQL TypeScript React Functional languages CircleCI AWS Python Terraform Packer Ansible Prometheus