Machine Learning Engineer II (AI)

Location: New York, New York, United States; additional office in Cambridge, Massachusetts

Salary: $140,000–$180,000 annually, plus annual incentive bonus and equity plans

Company

hirify.global is S&P Global’s AI innovation hub, developing machine learning, natural language processing, data discovery, and financial generative AI solutions.

What you will do

• Design and implement end-to-end RAG pipelines using chunking algorithms, embedding models, vector databases, and retrieval agents.
• Build and optimize retrieval systems over large-scale proprietary datasets.
• Develop LLM-based solutions that coordinate retrieval, generation, and ranking for context-aware responses.
• Investigate vector search, chunking, indexing, retrieval evaluation, and GraphRAG challenges.
• Partner with Product, Design, and ML Operations teams to deliver ML-based user experiences and manage the ML systems lifecycle.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• 3+ years of hands-on industry experience with machine learning, NLP, information retrieval, large-scale text processing, and production systems.
• Strong Python programming skills and experience with PyTorch, Transformers, and HuggingFace.
• Experience with LLM orchestration libraries such as LangChain or LlamaIndex.
• Experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
• Experience with vector databases such as PostgreSQL/PGVector, OpenSearch, or Pinecone, plus similarity search and vector indexing algorithms.

Nice to have

• Experience with Claude Code, Weights & Biases, LiteLLM, Airflow, Docker, Kubernetes, Jenkins, AWS, or GitHub Actions.
• Experience with agentic search, prompt engineering, data embedding, and AI agent evaluation.

Culture & Benefits

• Medical, dental, and vision insurance with 100% company-paid premiums.
• Unlimited paid time off and 26 weeks of fully paid parental leave.
• 401(k) plan with 6% employer matching.
• Up to $20,000 in tuition assistance and up to $4,000 annually for professional education.
• Mentoring, learning opportunities, conferences, catered lunches, and a dog-friendly Cambridge office.