Standard AI has transformed retail as we know it. With the first autonomous retail solution that works in any existing store, we enable customers to walk in, grab what they need, and walk out - without waiting in line or stopping to pay. The company’s computer vision solution is the only one that can be quickly and easily installed in retailers’ existing stores, representing a giant leap forward for retail tech that enables retailers to rapidly deliver amazing new shopping experiences to customers. Standard has launched dozens of stores alongside Circle K, Compass Group, and others and have hundreds more on the way. We’re the most well funded in our space, backed by some of Silicon Valley’s leading investors including SoftBank, CRV, Initialized, EQT, Draper Associates, and Y Combinator.
We're building a soft real-time machine learning system that provides shoppers with a seamless checkout experience. Our system is vision only, and every store must stream process terabytes of video per day from hundreds of cameras, touching on a multitude of interconnected models. We're pushing the limits of what video comprehension can achieve, and we're expanding to do it at scale. You'll be helping us solve problems that few teams have ever tackled.
We’re looking for someone to help us build our production system for creating 3d understanding/models of every store that we deploy, leveraging computer vision techniques. This role blends challenging tasks in multi-view camera systems, graph optimization problems, and structure from motion. Like other engineering roles at Standard, you would partner closely with full stack engineers, product managers, and operational teams to drive critical business impact.
As a successful software engineer-computer vision at Standard, you will design and build high-quality production systems that drive key impacts to our core business. All our ML Engineers contribute to the full life cycle of model development, from cross-functional data set acquisition, to training pipelines, to model design, to scaling out model serving and monitoring. If this sounds like fun, we'd love to hear from you!
This is a Full Time role and can be based remotely anywhere within the (US time zones/world/west coast/etc.) on an ongoing basis. Standard is a remote first company. We want our employees to have the flexibility to create work habits, locations, and schedules that best fit their lives.
What you'll do here:
Contribute to the end to end development of state of the art machine learning systems, from metric definition and data set creation to model deployment and monitoring
Solve modeling problems at the cutting edge of production machine learning
Work cross-functionally with operation teams in data creation and labeling to help design our massive data set
Contribute to our multi-view camera and 3D mapping code, solving challenging optimization, camera calibration, and SfM problems