Machine Learning Engineer (Knowledge Graphs)

Location: New York, NY; hybrid office schedule

Salary: $150,000–$195,000 per year plus equity

Company

hirify.global is a Series A startup building an intelligence platform for global supply chains and China-related risk, backed by Sequoia Capital and Harpoon Ventures.

What you will do

• Fine-tune entity resolution algorithms to uncover connections between people and organizations across China.
• Expand knowledge graphs with alternative data to map relationships and power structures.
• Train, test, deploy, and optimize machine learning models operating on tens of millions of records daily.
• Define evaluation harnesses for classical machine learning and agentic systems with Product.
• Build agent workflows and contribute to MCP servers and agentic pipelines for internal research tools.
• Collaborate with Engineering, Product, Research, Data, and Enrichment teams to scale ingestion and analytics capabilities.

Requirements

• 4+ years of experience solving clustering-type machine learning problems, ideally involving knowledge graphs or entity resolution.
• End-to-end experience taking production machine learning models from experimentation and training through testing, tuning, deployment, and ongoing operation.
• Significant experience with Python and SQL.
• Experience with frontier or state-of-the-art models and/or fine-tuning LLMs for specific tasks.
• Experience working with large, heterogeneous, unstructured datasets, semantic search, computer vision or OCR, or linear optimization.
• Experience with technologies such as PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, or Kubernetes.

Nice to have

• Early-stage startup experience at Series B or earlier.
• B2B SaaS experience.

Culture & Benefits

• Mission-driven, collaborative environment with a growth mindset.
• Salary, equity, and rapid growth potential.
• 100% company-paid medical, dental, and vision coverage for employees.
• FSA, HSA, 401(k), generous paid time off, and company-wide holidays.
• Pre-tax commuter benefits and a flexible hybrid schedule.