AI/ML Engineer (AI)

TL;DR

AI/ML Engineer (AI): Designing and implementing the machine learning and AI backbone for an intelligent, compatibility-driven dating platform, with an accent on personalized matching algorithms, adaptive recommendation loops, and natural voice/LLM-based interactions. Focus on prototyping and productionizing agentic workflows, deploying and monitoring ML models in production, and running offline/online experiments to measure real-world outcomes.

Location: On-site in San Francisco, United States

Company

hirify.global is an intelligent, compatibility-driven dating platform that blends psychology, data, and human-like conversation.

What you will do

• Design and implement multi-stage matching systems (embedding-based retrieval + LLM re-ranking) for compatibility scoring, search, and personalization.
• Develop and maintain ML pipelines for data ingestion, feature generation, model training, evaluation, and inference.
• Prototype and productionize agentic workflows for natural-language and voice interactions.
• Deploy and monitor ML models in production with guardrails for performance, fairness, and safety.
• Run offline & online experiments (A/B and multivariate) to measure real-world outcomes such as engagement, match success rate, and conversation quality.
• Collaborate cross-functionally with platform engineers and product designers to integrate AI seamlessly into the hirify.global user experience.

Requirements

• 3+ years in applied ML or data science engineering roles, ideally working on recommendation, search, or personalization systems.
• Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX, Hugging Face).
• Experience with LLMs, embeddings, and agentic workflows.
• Understanding of A/B testing and human-in-the-loop system design for model evaluation in production.
• You care about building safe, fair, and human-centered AI experiences.

Nice to have

• Familiarity with ANN search systems and modern MLOps tools.
• Reinforcement learning or preference modeling experience.

Culture & Benefits

• Opportunity to define the technical DNA of a consumer AI product from day one.
• Architect and deploy systems that combine data science, human psychology, and generative AI.
• Your work will directly shape how people connect, communicate, and build relationships in an AI-assisted world.