Founding Senior Machine Learning Engineer, Domains Search

Squarespace

New York City, US
Base: $190,000 - $255,000 usd; bonus/equity: stock...
On-site
Building search platform from ground up
Retrieval and ranking systems
Designing hybrid search systems
This is a unique opportunity to shape a greenfield ML initiative at Squarespace

Job Summary

  • This is a unique opportunity to shape a greenfield ML initiative at Squarespace.
  • As part of a small, high-impact team, you'll have influence over how we build our search platform and how millions of customers discover their online identity.
  • You will design, build, and deploy hybrid search systems (classical ML + genAI + rule-based) for generative domain name search which balance relevance, latency, and scale.

Matching Summary

This is a unique opportunity to shape a greenfield ML initiative at Squarespace.

Salary

Base: $190,000 - $255,000 USD; Bonus/Equity: Stock options granted; Benefits: Medical plans, fertility benefits, Headspace subscription, EAP, retirement benefits with match, PTO, parental leave, commuter benefit, education reimbursement, donation match, ERGs, dog-friendly workplace, free lunch/snacks, private rooftop, hack week

Skills & Requirements

Must-have

  • building search platform from ground up
  • retrieval and ranking systems
  • designing hybrid search systems
  • leading technical direction in retrieval or ranking
  • leading embedding model selection and optimization
  • deploying and operating ML systems at scale

Nice-to-have

  • LLM integration
  • translating ambiguous product ideas
  • build vs. buy decisions

Key Requirements

  • 7+ years of professional experience in machine learning engineering
  • at least 2 years focused on search, retrieval, ranking, or recommendation systems
  • Experience building production search or ranking systems end-to-end
  • Depth in two or more of: retrieval, ranking, or embeddings
  • Comfort owning strategy and shaping roadmap
  • Strong architectural judgment
  • Proven ability deploying and operating ML systems at scale

Work Rights

Not specified

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