Senior Backend Software Engineer, Standard AI
$175-195k
+ Stock options
More information about location
Automated checkout technology
Job no longer available
Automated checkout technology
101-200 employees
Job no longer available
$175-195k
+ Stock options
More information about location
101-200 employees
Company mission
Standard AI's mission is to revolutionize the way the world shops.
Role
Who you are
- Have 4+ years of backend development experience with object oriented languages (Python, Go, Java, etc.)
- Built cloud-based micro services and are an expert at event-based architecture
- Built and scaled MVPs
- Like solving complex and ambiguous problems efficiently - sometimes by writing code, but also by knowing when not to write code
- Enjoy helping other developers become better, through code review, design discussions, and more
What the job involves
- As a Backend Engineer at Standard AI, you will help us set up our expanding micro-services, build or rebuild data models, and establish integrations with anything from client API’s to ML services
- You’ll work closely with machine learning, application, infrastructure and other backend engineering teams to deploy scalable and resilient systems that meet our evolving product requirements
- Most importantly, you’ll work to create new ways to manage system complexity, so that our customers can have the most streamlined, frictionless experience possible
- Design and implement services and APIs supporting both internal and external products
- Ensure our code is scalable, maintainable, and reliable
- Partner with other teams to iterate quickly on experimental systems that solve real user problems
- Proactively find and fix performance bottlenecks in our services
- Mentor junior engineers and help establish best practices for cloud based microservices
Our take
Automated checkouts allow brick-and-mortar retailers to cut down substantially on labor costs, and for the majority of consumers they reportedly represent an attractive kind of queue-free, contactless shopping experience. So it’s no surprise that the race is on to develop a market-cornering solution. Standard AI is one startup throwing its hat into the ring.
Standard AI’s technology uses cameras, computer vision, and AI to track shopper activity and automatically log and process their purchases. This means all that’s required for installation are carefully positioned cameras and some onsite servers - this makes it competitively fast and accessible, especially for smaller retailers. Plus, whilst it’s not the only company using this approach, it’s the only one making a firm commitment to not using facial recognition technology. This could prove important as the technology is more broadly adopted.
Standard’s tech has so far, however, only been deployed in a handful of convenience stores. With momentum for cashierless checkouts growing, Standard will need to roll out faster to avoid being left behind. Startup competitors like Zippin and Grabango, for example, are already making impressive headway, and of course major competitors like Amazon and Walmart are beginning to dominate too.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Feb 2021
$150m
SERIES C
Apr 2020
$2.4m
LATE VC
Total funding: $233m
Company benefits
- Work From (Almost) Anywhere: Our team currently works from three continents, and every employee receives a $750 stipend to support their home office needs
- Take Care of Yourself: Standard covers 100% of your Medical, Vision, Dental, and Life insurance
- Compensation that Adds Up: We offer competitive salaries with meaningful equity opportunities
- Time Off for What Matters: We go beyond the norm when it comes to company-wide holidays, giving everyone time off for important dates like Juneteenth
Company HQ
SoMa, San Francisco, CA
Leadership
Jordan Fisher
(Co-founder & CEO)With a doctorate in applied mathematics, subsequently served as the president of Pwnee Studios, and then the development branch chief at the U.S. Securities and Exchange Commission.
Brandon Ogle
(Co-founder & ML Engineer)Previously worked in quantitative strategies with Carter Bain Wealth Management, before moving into data science at Columbia University. Then contracted with the quantitative analytics unit at the U.S. Securities and Exchange Commission.
Daniel Fischetti
(Co-founder & Architect)A materials science graduate who worked as a software engineer at QUANTUMKDB, before taking up a consultancy position at First Derivatives.
TJ Lutz
(Co-founder)Originally founded TJ's Fitness Training, and then worked as VP of Pwnee Studios.
Share this job