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2 дня назад

Founding Machine Learning Engineer (AI)

128 500 - 236 500$
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 Machine Learning Engineer (AI): Building the next generation of intelligent search experiences for domains, leveraging large language models and scalable ranking/personalization systems. Focus on designing, building, and deploying hybrid search systems balancing relevance, latency, and scale, and leading technical direction in retrieval or ranking.

Location: New York City headquarters (Hybrid)

Salary: $128,500 - $236,500 USD

Company

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

What you will do

  • Own key parts of retrieval or ranking scope as a founding Machine Learning Engineer.
  • Design, build, and deploy hybrid search systems (classical ML + genAI + rule-based) for generative domain name search.
  • Lead technical direction in retrieval (index design, query parsing, retrieval strategies) 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 ambiguous product ideas into technical approaches.

Requirements

  • 5+ years of professional experience in machine learning engineering, with at least 2 years focused on search, retrieval, ranking, or recommendation systems.
  • Experience building production search or ranking systems end-to-end, including standing up new systems or leading architectural shifts.
  • Depth in two or more of: retrieval (indexing, vector search), ranking (learning-to-rank, multi-objective optimization), or embeddings.
  • Comfort owning strategy to help shape the roadmap while building high-quality technical solutions.
  • Strong architectural judgment, with an ability to evaluate tradeoffs and communicate decisions clearly.
  • Proven ability deploying and operating ML systems at scale, ensuring reliability, performance, and quality under high traffic volumes.

Nice to have

  • LLM integration experience.

Culture & Benefits

  • Choice between medical plans with an option for 100% covered premiums, fertility, and adoption benefits.
  • Access to supplemental insurance plans and a Headspace mindfulness app subscription.
  • Retirement benefits with employer match.
  • Flexible paid time off, 12 weeks paid parental leave, and family care leave.
  • Education reimbursement and employee donation match to community organizations.
  • Dog-friendly workplace with free lunch, snacks, a private rooftop, and hack week twice per year.

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