ML Engineer (AI)

Location: Remote from Poland; address listed as Warsaw, Poland. Interviews may be conducted virtually and/or onsite.

Company

hirify.global is building AI-native applications that bring proactive intelligence to communication, coordination, errands, and workflows.

What you will do

• Build and improve ML models for classification, ranking, retrieval, recommendation, and personalization.
• Optimize classifiers for accuracy, precision, latency, and cost.
• Improve search relevance and context retrieval with embeddings, vector search, hybrid search, and reranking.
• Develop evaluation pipelines, labeled datasets, and metrics for measuring model quality.
• Build and maintain 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.
• Understanding of model evaluation, experimentation, and performance metrics.
• Production-quality coding skills and experience working with real-world datasets.
• Python and PyTorch or JAX experience, with knowledge of embeddings, vector search, ranking models, and production ML systems.

Culture & Benefits

• Work with a small, high-talent-density, hands-on team.
• Make decisions collectively and move quickly while balancing quality with continuous learning.
• Bring structure, exercise judgment, and execute independently.
• Expect a prompt hiring decision after approximately three to four interviews.

Hiring process

• Applications are evaluated by technical team members.
• Complete three, and no more than four, interviews conducted virtually and/or onsite.
• A prompt decision follows the interview process.