AI Engineer (ML)

Location: New York, hybrid; relocation for this role is available within the United States, with in-person collaboration required.

Salary: $220K–$260K base salary, plus equity.

Company

hirify.global provides infrastructure for digital platforms to write and enforce safety policies, deploy AI agents, investigate threats, and manage harmful content and abuse.

What you will do

• Turn messy customer decision data into production models and own the path from data preparation to deployment.
• Improve classification pipelines, confidence cascading, and detection strategies for harmful content.
• Build intelligent features that support moderators, organize platform content, and reveal patterns in customer data.
• Partner with Engineering and Data teams to develop model training, hosting, inference, feature, and data infrastructure.
• Design evaluation and metrics infrastructure for classifier scores, model outputs, and AI agent decisions.
• Mentor teammates and raise the company's machine learning standards.

Requirements

• 5–8+ years of machine learning engineering experience and a strong record of shipping production ML systems.
• Experience taking classification problems from messy, unlabeled real-world data through deployment and long-term production use.
• Hands-on experience with severe class imbalance, feature engineering, leak-aware data splits, precision/recall/F1/AUC, cross-validation, and hyperparameter tuning.
• Strong Python skills and experience with PyTorch, scikit-learn, LangChain, XGBoost, or similar AI and ML frameworks.
• Solid MLOps experience, including CI/CD, model versioning, experiment tracking, drift detection, monitoring, and inference systems with latency and throughput targets.
• Experience building ML infrastructure in a startup or small team and making pragmatic build-versus-buy decisions.

Nice to have

• Experience training, evaluating, and serving models with Databricks.
• Experience with AWS and infrastructure as code using Terraform.

Culture & Benefits

• Small, fast-moving team focused on solving customer problems directly.
• Backed by Accel and Y Combinator.
• Health, vision, and dental benefits.
• 401(k) plan with employer matching and fully paid commuter benefits.
• Fully stocked office with paid lunch and dinner, plus at least two company-wide events each year.