Senior Software Engineer — AR/ML Prototyper (Remote/Hybrid)

Wayfair

Topeka (KS)

Hybrid

USD 184,000 - 201,500

Full time

14 days+

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Benefits offered by this job

Stock options
Health benefits
Performance incentives

Job summary

Wayfair is hiring a Senior Software Engineer in Topeka, offering remote/hybrid options for certain locations. The role involves building innovative AR/VR and ML features in the home/retail space, with strong collaboration across product, design, and partners.

The candidate should have a CS/SE degree (PhD acceptable) and 8+ years of R&D or 3+ years with a relevant degree, plus a track record delivering prototypes to production.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent (PhD acceptable).
  • Minimum 8+ years of R&D experience or 3+ years with a degree in CS/SE/HCI or equivalent.

Responsibilities

  • Explore and extend principles in home and retail using AR/VR, visual computing, and ML.
  • Identify high‑impact opportunities and build prototypes to validate them incrementally.
  • Deliver clear presentations to resolve ambiguity and demonstrate software solutions; iterate quickly.
  • Coordinate with cross‑functional teams and external partners like Magic Leap, Google, and Adobe.
  • Engage with the tech community through blogs, talks, and external outreach to promote Wayfair’s technology brand.
  • Provide technical guidance and collaborate across product, engineering, and enterprise teams for strategy and release.
  • Own end‑to‑end work from ideation to shipping, communicating scope, risks, and challenges.

Skills

R&D experience
Cross‑functional collaboration
Prototyping & rapid iteration

Education

Bachelor’s degree in Computer Science or related field

Job description

Wayfair is hiring a Senior Software Engineer in Topeka, offering remote/hybrid options for certain locations. The role involves building innovative AR/VR and ML features in the home/retail space, with strong collaboration across product, design, and partners.

The candidate should have a CS/SE degree (PhD acceptable) and 8+ years of R&D or 3+ years with a relevant degree, plus a track record delivering prototypes to production.

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