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9 дней назад

Machine Learning Engineer - Search (AI)

Формат работы
remote (только USA)
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
Machine Learning Engineer - Search (AI): Building AI-powered product search and recommendation systems across a search index of over one billion products with an accent on LLMs, vector matching, relevance engineering, and personalization. Focus on designing low-latency machine learning systems, productionizing data products through experimentation and metrics analysis, and building scalable evaluation tools and data pipelines.

Location: Remote - Americas

Company

hirify.global provides commerce infrastructure that helps entrepreneurs and enterprises start and scale businesses worldwide.

What you will do

  • Design and implement AI-powered features for search recommendations and personalization.
  • Collaborate with data scientists and engineers to productionize data products through experimentation and metrics analysis.
  • Build and maintain scalable data pipelines for search and recommendation systems.
  • Develop evaluation and relevance-engineering tools using high-quality software engineering practices.
  • Mentor engineers and data scientists while supporting technical excellence and innovation.
  • Participate in on-call work if required.

Requirements

  • Expertise in relevance engineering and recommendation systems, with hands-on experience in Elasticsearch, Solr, or vector databases.
  • Strong proficiency in Python and object-oriented programming.
  • Ability to write optimized, low-latency code for high-performance systems.
  • Track record of shipping machine learning solutions used by real users.
  • Readiness to work in a fast-paced, ambiguous, changing environment and work digital-first.

Nice to have

  • Experience deploying machine learning, NLP, or generative AI products at scale.
  • Familiarity with statistical methods.
  • Exposure to Ruby, Rails, or Rust.

Culture & Benefits

  • Digital-first daily work.
  • Fast-paced environment with a focus on independence, resilience, resourcefulness, and continuous growth.
  • Opportunity to work on commerce products serving millions of merchants and customers.
  • AI-enabled tools may be used to screen, select, and assess applications; recruitment outputs are reviewed and validated.

Hiring process

  • Be prepared to interview within one week of applying.
  • The interview loop is targeted for completion within 30 days.
  • The process includes a live pair-programming session using the candidate's own IDE.

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