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5 дней назад

Senior AI/ML Engineer

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

Текст:
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TL;DR
Senior AI/ML Engineer (Search and Recommendations): Building ranking, recommendation, and multimodal search systems for a global jewellery marketplace with an accent on information retrieval, learning-to-rank, embeddings, and LLM-powered discovery. Focus on owning production ML systems end to end, designing low-latency model serving, evaluating probabilistic outputs, and building graceful recovery paths for confidently wrong results.

Location: Remote in the US; Boston or NYC

Company

hirify.global operates a digital marketplace connecting diamond and gemstone suppliers with jewellery retailers across more than 70 countries.

What you will do

  • Build and operate search, ranking, recommendation, and multimodal retrieval systems for hirify.global's marketplace and branded jeweller storefronts.
  • Develop contextual and conversational search using language models, prompt design, and retrieval-augmented approaches.
  • Build image-to-attribute and image-to-product-match pipelines using image embeddings.
  • Own ranking and recommendation models across feature development, training, evaluation, deployment, and monitoring.
  • Design low-latency real-time model-serving systems and multi-tenant configurable infrastructure.
  • Define ranking-specific evaluation with offline metrics, interleaving experiments, stress testing, and recovery paths for probabilistic failures.

Requirements

  • 5–10 years of experience in applied machine learning, information retrieval, ranking, recommendations, or related engineering work.
  • Experience with real search infrastructure such as Elasticsearch, OpenSearch, Vespa, pgvector, Pinecone, or Weaviate.
  • Hands-on experience with learning-to-rank, embedding-based retrieval, collaborative filtering, and the full production model lifecycle.
  • Production experience with NLP, LLM applications, prompt design, retrieval-augmented approaches, and evaluation of model output.
  • Experience building low-latency model-serving systems, image-embedding pipelines, or conversational search products.
  • Ability to design systems that handle probabilistic failures, support multiple tenants, and maintain rigorous testing and evaluation discipline.

Nice to have

  • Background in marketplace or e-commerce search, ranking, or recommendations.
  • Experience with computer vision fundamentals and image-to-product matching.
  • Experience using AI coding agents to build ML infrastructure and pipelines.

Culture & Benefits

  • Remote-first culture with flexible working hours.
  • Ownership and empowerment in a collaborative, high-growth environment.
  • Opportunities for learning and professional growth.
  • Unlimited holiday allowance.
  • Equal opportunity workplace welcoming applicants from diverse backgrounds.

Applications should include a CV in English.

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