Machine Learning Engineer (AI)

Location: United States; remote

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 models for accuracy, precision, 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 for measuring model quality and identifying regressions.
• Build and maintain training, inference, and deployment pipelines; fine-tune existing models when supported by sufficient data.
• 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 Python and experience working with real-world datasets.
• Ability to balance model quality, latency, cost, and reliability.
• Strong ownership and problem-solving skills.
• Experience with PyTorch or JAX, embeddings, vector search, ranking models, and production ML systems or inference pipelines.

Culture & Benefits

• Work remotely from the United States; interviews are conducted virtually and/or onsite.
• Join a small, high-talent-density, hands-on team that makes decisions collectively and moves quickly.
• Work with significant autonomy, using judgment to bring structure and execute independently.
• Expect three, and no more than four, interviews if there appears to be a fit.
• Applications are evaluated by technical team members, with a prompt hiring decision.