TL;DR

Founding Machine Learning Engineer (AI/NLP): Building and optimizing next-generation intelligent search experiences for domain discovery, leveraging large language models and scalable ranking systems with an accent on retrieval, ranking, and personalization. Focus on designing, building, and deploying hybrid search systems balancing relevance, latency, and scale, and leading technical direction in key areas.

Location: Hybrid in New York City, USA

Salary: $190,000–$255,000 USD

Company

Squarespace is a design-driven platform empowering entrepreneurs to build brands and businesses online through websites, domains, e-commerce, and marketing tools.

What you will do

  • Be one of our founding Machine Learning Engineers, owning key parts of retrieval or ranking scope.
  • Design, build, and deploy hybrid search systems (ML + genAI + rule-based) for generative domain name search.
  • Lead technical direction in retrieval (index design, query parsing) or ranking (learning-to-rank, multi-objective optimization).
  • Lead embedding model selection, post-training optimization, and evaluation for semantic retrieval and ranking features.
  • Collaborate with engineers, data scientists, and product managers to translate product ideas into technical approaches.

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 (indexing, vector search), ranking (learning-to-rank), or embeddings.
  • Strong architectural judgment to evaluate tradeoffs and communicate decisions clearly.
  • Proven ability deploying and operating ML systems at scale, ensuring reliability and performance.

Culture & Benefits

  • Flexible paid time off and 12 weeks paid parental leave and family care leave.
  • Medical plans with an option for 100% covered premiums, fertility, and adoption benefits.
  • Retirement benefits with employer match.
  • Education reimbursement and employee donation match to community organizations.
  • Dog-friendly workplace with free lunch, snacks, and a private rooftop.
  • Access to Headspace mindfulness app subscription and Global Employee Assistance Program.