Strange Loop automates business processes at the world’s largest companies, governments, and institutions.
We’re building an AI agent platform that processes unstructured data and reasons how to solve hard customer problems. We work alongside teams at F500s to build a deep understanding of their workflows, knowledge, tools, goals, and bottlenecks, and then automate their processes end-to-end using our AI platform.
We’re senior engineers from Amazon Alexa and AWS AI. We’ve built AI platforms used by millions of users and dozens of F100s, including Lyft, Cisco, Liberty Mutual, and the NFL.
This is a great time to join Strange Loop. Over the past few years we have partnered with some of the largest financial institutions in the world, grown revenue from zero to seven figures (and became profitable), and raised from top AI investors.
Life at Strange LoopIn addition to building a great AI platform, we are just as focused on building a great company. Visit our Careers page to find out what life at Strange Loop is like.
About the RoleStrange Loop engineers work across the entire AI stack and own customer relationships end-to-end, from understanding their business need to designing solutions to delivering outcomes. As a Strange Loop AI Engineer, you will:
Work closely with customer, from executives to end users, to deeply understand their problems and needs.
Train, test, deploy, and operate propietary and public multimodal models that power our core AI platform.
Build and deploy efficient, scalable systems that deliver a fantastic AI experience to our customers.
Design novel AI UX patterns that integrate into our customers' workflows and enhance their speed and ability to scale.
In addition to your Resume, please include a cover letter. The cover letter should be a 1 to 2 page essay on which Engineering Principle from our Careers Page (https://www.strangelooplabs.ai/engineering-principles) resonates most deeply with you. Describe why you believe the principle to be true, and provide at least one example from your career of when you have applied that principle (or a time when you wished you had applied it).
.jpeg)
