ML Engineer (AI)

Location: Remote from Germany

Company

hirify.global is building AI-native applications, beginning with an agent-first mobile communication app designed to support communication, coordination, collaboration, and everyday workflows.

What you will do

• Build and improve machine learning 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, metrics, and model release processes.
• 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 machine learning models in production.
• Experience with classification, ranking, retrieval, recommendation systems, or personalization.
• Understanding of model evaluation, experimentation, and performance metrics.
• Production-quality Python code and experience working with real-world datasets.
• Experience with PyTorch or JAX, embeddings, vector search, ranking models, and production ML systems.

Culture & Benefits

• Small, high-talent-density, hands-on team with collective decision-making.
• Fast execution balanced with high-quality work and continuous learning.
• Autonomous work requiring structure, judgment, ownership, and independent execution.
• Remote work with interviews conducted virtually and/or onsite.
• Hiring decisions are designed to be prompt after three, and no more than four, interviews.

Hiring process

• Applications are evaluated by technical team members.
• Complete three, and no more than four, interviews conducted virtually and/or onsite.
• Successful candidates receive a prompt offer decision.