We empower businesses across industries to make high frequency, critical path decisions fully autonomous. Our products have helped some of the world’s largest CPG companies transform their sales and supply chains into increasingly autonomous, self-learning systems — unlocking efficiencies and resulting in better, more affordable consumer experiences.
But autonomous selling is just the beginning. We know that Autonomy can help organizations tackle much more, from delivering critical goods and services more affordably, sustainably, and equitably to the world, to reducing green premiums on renewable energy to compete more effectively with fossil fuels.
How you will contribute
As a software engineer within our team, you will build the next generation of machine learning software.
We have 3 main areas of focus: Core Intelligence-ML Modeling, Telemetry-Impact & Algorithmic Health, and AI interfaces.
You will be involved in building out functionality for all 3 areas.
Required qualifications
Interest and enthusiasm for Artificial Intelligence and Machine Learning
Proven ability to write clean code
Strong Computer Science fundamentals in data structures, algorithm design, and problem solving
Strong Intuition architecting, building, and scaling complex systems
Collaborate with Product Designers, ML Scientists and external stakeholders to deliver compelling user-facing products
Strong customer focus with ability to translate user requirements into good design
