Machine Learning Engineer (AI)

Location: Remote; Seoul, Korea

Company

hirify.global is building 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, recommendation, and personalization.
• Optimize classifiers and ranking systems for accuracy, precision, relevance, latency, cost, and reliability.
• Improve search relevance and context retrieval using embeddings, vector search, hybrid search, and reranking.
• Develop evaluation pipelines, labeled datasets, and metrics to measure model quality and detect regressions.
• Build and maintain ML training, inference, and deployment pipelines.
• Debug production issues, monitor model performance, and ship improvements based on real-world feedback.

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.
• Understanding of model evaluation, experimentation, performance metrics, and real-world datasets.
• Ability to write production-quality code and balance model quality, latency, cost, and reliability.

Culture & Benefits

• Work with a small, high-talent-density, hands-on team.
• Make decisions collectively and move quickly while maintaining high-quality standards.
• Work independently, bring structure, and exercise judgment.
• Interviews are conducted virtually and/or onsite, with 3–4 interviews expected.
• Applications are evaluated by technical team members, with a prompt hiring decision.

Hiring process

• Technical team members evaluate applications.
• Complete 3, but no more than 4, interviews conducted virtually and/or onsite.
• Receive a prompt decision after the interview process.