Machine Learning Engineer (AI)

Location: Remote from Spain

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, vector search, 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; monitor production 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.
• Understanding of model evaluation, experimentation, and performance metrics.
• Production-quality Python development and experience working with real-world datasets.
• Ability to balance model quality, latency, cost, and reliability.

Nice to have

• Experience fine-tuning and adapting existing models when sufficient data is available.
• Experience with PyTorch or JAX.

Culture & Benefits

• Small, high-talent-density, hands-on team.
• Collective decision-making and fast execution.
• Autonomous work requiring structure, judgment, and independent execution.
• Interviews conducted virtually and/or onsite.
• Typically 3, and no more than 4, interviews followed by a prompt decision.

Hiring process

• Applications are evaluated by technical team members.
• Selected candidates complete 3 to 4 interviews conducted virtually and/or onsite.
• Successful candidates receive an offer after a prompt decision.