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Staff Designer - Remote

Posted 1 week ago
Design
Full Time
CA, USA
245700 - 335000/year

Overview

The Staff Designer is responsible for product design and technical integration, focusing on user interfaces and user journeys for machine learning tools.

In Short

  • Responsible for product design and technical integration.
  • Create user interfaces and design user journeys.
  • Develop visual designs and establish design systems.
  • Work on machine learning workflows and models deployment.
  • Collaborate with developers to implement user interfaces.
  • Encourage in-office presence with telecommuting permitted locally.
  • Travel required for domestic biannual summits.
  • Lead design sprints and workshops.
  • Manage cross-functional product design projects from conception to launch.
  • Expected salary range is $245,700-$335,000/year.

Requirements

  • Bachelor's degree in Human-Computer Interaction, Design, Computer Science, or related field.
  • 8 years of experience in relevant design roles.
  • Experience with developer productivity tools and enterprise software.
  • Strong skills in end-to-end product design and modern front-end development.
  • Conduct user research and synthesize feedback from technical audiences.
  • Proven ability to align stakeholders on complex requirements.
  • Experience in measuring and optimizing developer experience.
  • Must pass a competency-based interview.

Benefits

  • Competitive salary range.
  • Opportunities for professional development.
  • Flexible working arrangements.
  • Collaborative team environment.
  • Involvement in cutting-edge machine learning projects.
Replicate logo

Replicate

Replicate is an innovative company focused on redefining AI infrastructure, aiming to make AI deployment as intuitive and reliable as web deployment. Comprising a talented team of developers and engineers from renowned organizations such as Docker, Spotify, and NVIDIA, Replicate leverages its expertise in foundational technologies to build a robust platform for creating, deploying, and running machine learning models. The company is dedicated to making generative AI accessible to everyone, overseeing the entire lifecycle of models and developing infrastructure that supports thousands of models and millions of predictions daily.

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