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# Machine Learning Engineer II

- **Company:** Sp Global, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $140,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Code Generation, Data Security, Memory Management, Information Retrieval, Interaction Design, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, Search Technologies, Software Engineering, SQLite, Pytorch, Large Language Models, Grafana, Multi-Agent Systems, Apache Spark, Jupyter, Fastapi, Pandas, Matplotlib, Scikit Learn, Information Technology, HuggingFace, Xgboost, Data Management, Machine Learning Operations, Streamlit Framework, Software Library, Docker, Jenkins
- **Published:** August 11, 2026
- **Apply:** https://spgi.wd5.myworkdayjobs.com/SPGI_Careers/job/New-York-NY/Machine-Learning-Engineer-II_330646-1

## About the Role

* Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 * 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, with a strong focus on practical applications.
 * Experience with all stages of the ML life-cycle including designing and experimenting to deploying and maintaining production systems.
 * Strong proficiency in Python, with a solid understanding of best practices in software development.
 * Experience working with machine learning libraries and frameworks for agent orchestration, such as LangGraph, pydanticAI, etc.
 * Experience in agentic design, understanding user interactions, and evaluating agent performance to enhance user experiences.
 * Demonstrated effective coding, documentation, collaboration, and communication habits.
 * Strong problem-solving skills and a proactive approach to addressing challenges.
 * Ability to adapt to a fast-paced and dynamic work environment.

Technologies & Tools We Use:

 * Agentic systems: Agentic Orchestration, Deep Research, Information Retrieval, Semantic Search, LLM code generation, LLM tool utilization, Textual RAG systems
 * Core ML/AI: LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost
 * Data Exploration & Visualization: Jupyter, Matplotlib, Pandas, Weights & Biases, Langfuse
 * Data Management & Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, S3, SQLite
 * Deployment & MLOps: Arize, Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, LangFuse, LiteLLM, Ray, vLLM
 * Prototyping & Development: Claude Code, FastAPI, Streamlit, Gradio

## Description

* Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
 * Participate in all stages of the ML lifecycle, from problem framing and data exploration to model experimentation, deployment, and monitoring in production, ensuring the continuous improvement and optimization of our Agentic Systems.
 * Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.
 * Work closely with Data, Product, Design, and Engineering teams to design and develop Agents to enhance user experiences and meet business objectives.
 * Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation.


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