Women Impact Tech

Staff Machine Learning Engineer, Computer Vision

    San Francisco, Remote

Full Time

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 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 that creates consistent statistical 3D world models for every store we deploy. This role blends challenging tasks with our multi-view camera system, graph optimization problems, and structure from motion. Like other Machine Learning Engineer (MLE) roles at Standard, you will partner closely with full stack engineers, product managers, and operational teams to drive critical business impact.

As a successful MLE at Standard, you will design and build high-quality production inference systems that impacts 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 remote role located anywhere in the United States or the European Union.

What You'll Do:

  • 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 sets
  • Contribute to our multi-view camera and 3D mapping code, solve challenging optimization, camera calibration, and SfM problems

Your skillset:

  • Experience building production software for Computer Vision systems
  • Proficient in Python
  • Experience in implementation of Machine Learning systems and familiarity with deep learning methods
  • Experience in computer vision, especially multi-view geometry and camera models, SLAM, or SfM
  • You communicate clearly and possess the ability to work cross-functionally across team boundaries
  • You are able to problem solve in a flexible manner
  • You are passionate about the entire ML lifecycle

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 jobs@standard.ai. Someone from the team will follow up to answer your questions.