aipythonelasticsearchmachine learningnlpdata pipelinessolrvector databasessearchrecommendation systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Hirify AI/Оригинал
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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