Scale

Product Engineer - Scale Rapid

Company

Scale

https://scale.com/

Role

Engineering

Location

  • San Francisco, CA

Scale’s emerging products are some of the fastest-growing in the company’s history. In particular, Scale Rapid democratizes Scale’s data annotation capabilities to teams of all sizes and industries, helping teams get production-quality data as quickly as possible. We enable customers to iterate and train the next generation of machine learning systems.

We are looking for great entrepreneurial engineers excited to work in a startup-within-a-startup. This role will have a large amount of impact by working closely with customers and help define and implement our product roadmap. You will work with a dedicated group of engineers working on Scale Rapid. The team is results-oriented, always looking for innovative solutions to deliver the best product that helps our customers accomplish their goals.

You will:

  • Own large new areas within our product, and ship systems from 0 to 1
  • Build technologies ranging from frontend and backend to automated systems
  • Deliver experiments at a high velocity and level of quality to engage our customers
  • Work deeply with sales and marketing to increase customer engagement
  • Work across the entire product lifecycle from conceptualization through production
  • Be able, and willing, to multi-task and learn new technologies quickly

Ideally you'd have:

  • 1+ years of industry experience as a software engineer post graduation
  • At least a Bachelor’s degree (or equivalent) in a relevant field.
  • Full-stack experience (Python, Javascript, Node, React, Typescript, etc.)

Nice to have:

  • Prior startup experience, building from 0 to 1.
  • Experience at other API technology companies
  • Excitement to work with AI technologies

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

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