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2 дня назад

Founding Senior Machine Learning Engineer (Domains Search)

190 000 - 255 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Founding Senior Machine Learning Engineer (Domains Search): Building next-generation intelligent search experiences for domain suggestions using large language models, scalable ranking, and personalization systems. Focus on designing hybrid search systems (classical ML + genAI + rule-based), leading retrieval and ranking strategies, and optimizing embeddings for semantic search and multi-objective ranking.

Location: New York City (Hybrid)

Salary: $190,000 - $255,000 USD

Company

hirify.global is a design-driven platform helping entrepreneurs build brands and businesses online with tools for websites, domains, ecommerce, and marketing.

What you will do

  • Own key parts of retrieval or ranking scope and contribute across the stack as the team grows.
  • Design, build, and deploy hybrid search systems balancing relevance, latency, and scale for generative domain name search.
  • Lead technical direction in retrieval (index design, query parsing, strategies) or ranking (learning-to-rank, multi-objective optimization).
  • Lead embedding model selection, post-training optimization, and evaluation for semantic retrieval and ranking.
  • Collaborate with engineers, data scientists, and product managers to translate product ideas into technical approaches including build vs. buy decisions.

Requirements

  • 7+ years in machine learning engineering, with 2+ years focused on search, retrieval, ranking, or recommendation systems
  • Experience building production search or ranking systems end-to-end.
  • Depth in retrieval (indexing, vector search), ranking (learning-to-rank, multi-objective optimization), or embeddings; LLM integration is a plus.
  • Comfort owning strategy, shaping roadmap, and building high-quality solutions.
  • Strong architectural judgment to evaluate tradeoffs and communicate to stakeholders.
  • Proven ability deploying and operating ML systems at scale for reliability, performance, and quality.

Culture & Benefits

  • Choice of medical plans with option for 100% covered premiums, fertility/adoption benefits, supplemental insurance.
  • Retirement benefits with employer match, flexible paid time off, 12 weeks paid parental leave.
  • Pretax commuter benefit, education reimbursement, employee donation match.
  • 7 Global Employee Resource Groups, dog-friendly workplace, free lunch/snacks, private rooftop, hack week twice per year.

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