Machine Learning Platform Engineer
About the role
At Standard Cognition, we’re revolutionizing the way the world shops. By replacing cash registers with computer vision-powered checkout, we’re creating a frictionless experience for shoppers. Since launching in 2017, Standard has contracts with multiple global retailers and is in the process of deploying our Standard Checkout solution across thousands of stores globally. We’re backed by some of Silicon Valley’s leading investors including Softbank, CRV, Initialized, EQT, Draper Associates and YCombinator. We just announced our series C in February 2021!
We’re building real-time vision based system to completely map an entire store and automate most retail operations to provide customers with a frictionless checkout experience. We use machine learning and large-scale data to elevate customer experience, improve efficiency, and reduce costs in the world of retail. We train our models on large datasets of multi-camera perspective images which enables us to build and experiment with a huge diversity of approaches. We are a mix of researchers and production engineers from all kinds of backgrounds, and find that a diversity of perspective helps the problem solving process. You’ll be designing, building and deploying machine learning solutions into production.
This is a FULL TIME remote role located anywhere in the United States.
What you'll do here:
Build, evolve, and scale state-of-the-art machine learning system infrastructure. Creating data pipelines and overall workflow orchestration to cover data needs for ML Engineers. Write production level code to deploy and scale existing machine learning models. Build monitoring tools to understand the data quality and performance of complex system. Write and scale out state of the art deep learning models to power autonomous stores.
Who you are:
You have a strong engineering background with experience in data infrastructure and/or distributed systems. You are well versed in working with a cloud technology stack (eg. AWS or GCP). You are an expert with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform). You have a deep understanding of how to use deep learning frameworks (like tensorflow, pytorch etc). You have developed machine learning models.
Only meet some of these traits or experiences? We'd still love to hear from you!
Why you might want to work with us:
We take care of you and your family with health, vision, and dental insurance. You will have the option to contribute to a 401k. You're excited to work on a product that will impact almost any consumer, almost anywhere. Standard is a remote first company. We trust you to get your job done in the location that works best for you. We dress casually. Some of us wear slippers in the office. In current work from home standings, we’re super comfy. We believe in a culture of learning, and want to keep building our skills, experiences, and capabilities. We offer flexible work schedules. We trust our team to know how they will do their best work. We're family friendly. We want our teammates to focus on what they need to when they need to. We offer very competitive compensation, including equity in Standard, to each one of our employees.
Standard provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Not quite ready to apply? Send us an email at email@example.com. Someone from the team will follow up to answer your questions.