22 jobs for "Senior AI Research Engineer"

WHO YOU'LL WORK WITH

The EIM Viz Squad builds End-In-Mind Visualization, the interactive digital wall where Nike's merchants plan, share and review assortments. Reporting to the Engineering Manager, you'll collaborate with your peers, product team, business stakeholders and other partnering teams.

WHO WE ARE LOOKING FOR

The ideal candidate is a seasoned full-stack engineer with deep TypeScript and React skills, who likes hard frontend problems such as complex interactive interfaces and application state that must stay correct. They think in systems: they trace a problem through the UI, the API and the data before they fix it. They care about craft, accessibility and tests that catch real regressions. They are comfortable owning delivery end to end, from backend services on AWS to the pipeline that ships the code. They write things down, with clear PRs, decision records and docs that stay in sync with the code. They are pragmatic about scope, prefer the simplest change that works, and use AI coding tools well without trusting them blindly.

5+ years building production web applications, domain-driven design, and microservices - with significant time in TypeScript and React
Bachelor's degree in computer science, Engineering, Information Systems, or equivalent professional experience in lieu of a degree
Hands-on experience with Node.js services on AWS (ECS Fargate, DynamoDB, S3, ALB etc.) and infrastructure as code (Terraform, AWS CDK etc.)
Experience with CI/CD and package publishing (Jenkins, GitHub Actions, NPM registries such as Artifactory)
Nice to have: Three.js or React Three Fiber for 3D product rendering, Vite library builds, and Vitest or React Testing Library.

WHAT YOU'LL WORK ON

You'll shape how Nike merchants visualize and agree on assortments. You'll own features end to end, across the interactive wall, the APIs behind it, and its integrations with other Nike merchandising tools. You'll also raise the bar for quality, performance and engineering practices across the squad.

Build and refine a rich, interactive planning experience, with drag-and-drop, product detail views and layouts that hold up across browsers and screen sizes.
Own complex client state, such as autosave, versioning, undo/redo and multi-user review flows.
Design and extend Node/TypeScript APIs and integrate with internal product and planning services.
Ship the experience as an embeddable module that other Nike applications can host and keep its contract with those host's stable.
Own CI/CD, package publishing and environment promotion, and make releases boring.
Harden security and reliability at trust boundaries: authentication, cross-application embedding, and service-to-service access.
Mentor engineers, review PRs thoughtfully, and write the decision records and docs that keep a fast-moving product understandable.

About Nike

Size: 10,000+ employees
Industry: Sporting Goods

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