POSTED June 27

Front End Engineer at Numbers Station

  • Programming
  • Fulltime
  • Anywhere (100% Remote) Only
Job Description

At Numbers Station, we’re redefining how enterprises manage their data. Using cutting-edge machine learning models that we developed in the Stanford AI lab, our technology enables enterprises to automatically prepare and connect data sources for their downstream operational and analytical systems. Ultimately this leads to better return on investment and new possibilities for enterprises adopting our technology. Our technology already powers assistants and search engines at top tech companies and Numbers Station is now bringing this technology to the broader enterprise.

As a Front End engineer, you’ll deliver features that power and enable enterprises to leverage Numbers Station’s cutting-edge technology. With a combination of strong programming skills and a user-focused mindset, you will have full ownership and responsibility for designing, building and maintaining innovative user interfaces.

Excited to join a young startup transforming how enterprises manage their data? Apply to be a Front End Engineer on the Numbers Station team by sending us your resume at:

info@numbersstation.ai

Main Responsibilities

  • Design, prototype, optimize and maintain key user interfaces to Numbers Station’s technology.
  • Engage with ML experts to create a phenomenal user experience.
  • Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions.
  • Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.

Qualifications

  • Professional front-end experience prototyping and developing performant and scalable web application with modern React (e.g. ES7, React hooks, TypeScript).
  • Experience with UI/UX to create wireframes, prototypes, storyboards using popular design tools (e.g. Figma, Sketch, …), with or without the input of a designer.
  • Ability to work in a fast-paced environment and strong technical communication skills.
  • Self-motivation, positive mental attitude, and eagerness to learn.

Bonus points

  • Experience building B2B SaaS apps for machine learning or data science applications
  • Basic familiarity with cloud technologies (e.g. AWS, GCP).
  • Experience working in startups and fast moving environments.

Numbers Station is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. 

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Numbers Station

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