Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer (AI): Building and deploying ML systems for an AI-native mobile communication application with an accent on classification, retrieval, ranking, personalization, and evaluation. Focus on improving model quality, latency, cost, and reliability while building robust training, inference, and deployment pipelines.
Location: Remote from Portugal
Company
hirify.global is building proactive, AI-native applications that bring intelligence to communication, coordination, errands, and workflows with minimal prompting.
What you will do
Build and improve ML models for classification, ranking, retrieval, and personalization.
Develop efficient classifiers and optimize accuracy, precision, latency, and cost.
Improve search relevance and context retrieval using embeddings, hybrid search, and reranking.
Build personalization models based on user behavior while respecting privacy.
Develop evaluation pipelines, labeled datasets, and metrics for measuring model quality.
Build and maintain training, inference, and deployment pipelines; debug production issues and monitor model performance.
Requirements
Strong foundations in machine learning and modern neural architectures.
Hands-on experience building and deploying ML models in production.
Experience with classification, ranking, retrieval, recommendation systems, or personalization.
Proficiency in Python and experience with PyTorch or JAX.
Knowledge of embeddings, vector search, ranking models, and production ML inference pipelines.
Ability to write production-quality code and balance model quality, latency, cost, and reliability.
Culture & Benefits
Remote work from Portugal, with interviews conducted virtually and/or onsite.
Small, hands-on, high-talent-density team with collective decision-making.
Independent execution, structured problem-solving, continuous learning, and rapid delivery.
Prompt hiring decisions after three to four interviews when there is a strong fit.
Hiring process
Applications are evaluated by technical team members.
Complete three, and no more than four, interviews conducted virtually and/or onsite.
Expect a prompt decision after the interview process.
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