Machine Learning Engineer II

S&P Global

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYCambridge, MA
Salary: $140,000–$180,000 / yr
Posted: 29 days ago
Freshness: Confirmed live yesterday
Closes: Aug 11, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $221k

This role $160k

$125k most similar roles pay here $280k

This role pays less than 86% of similar roles. Most pay $187,850–$254,750 — the shaded band above. At the midpoint, this role pays about $160k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 46 open roles on FindRole.

Listed pay typically runs $142,000–$200,000 across 37 roles with salary data.

Most-posted roles

View all roles at S&P Global

At a glance

TL;DR · Machine Learning Engineer II

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As a Machine Learning Engineer II on the ML Team at Kensho, you will join a group focused on creating agentic experiences for complex financial data. You will manage the full machine learning lifecycle, from initial problem framing and experimentation to production deployment and monitoring. Your daily work involves designing and orchestrating intelligent agent frameworks, developing robust retrieval methods for structured and unstructured data, and evaluating AI-generated outputs to ensure they meet user needs. To succeed, you must be proficient in Python and experienced with tools like LangGraph, PyTorch, HuggingFace, and Transformers. You will also utilize technologies such as Apache Spark, AWS, Docker, and various MLOps tools like Airflow and Langfuse. The role addresses the challenge of facilitating human interactions with complex financial data through advanced NLP techniques and automated systems.

What does a Machine Learning Engineer earn in New York?

Median $216000 from 43 postings across 13 companies.

See salary data

Skills

Python LangGraph pydanticAI Transformers HuggingFace PyTorch SKLearn XGBoost LightGBM RAG LLM Orchestration Apache Spark AWS Athena S3 Pgvector OpenSearch Docker Airflow Jenkins FastAPI Streamlit Gradio vLLM DeepSpeed Weights & Biases Langfuse DVC

What you'll do

Solve challenges in agentic design including context engineering, memory management, and performance evaluation.
Manage the full machine learning lifecycle from problem framing and experimentation to production deployment.
Apply advanced NLP techniques to extract insights from proprietary structured and unstructured datasets.
Design and develop intelligent agents to enhance user experiences and meet business objectives.
Collaborate with MLOps teams to create automated solutions for managing the ML systems lifecycle.
Build scalable systems that connect complex financial data to actionable insights.

What we're looking for

Bachelor's degree or higher in Computer Science, Engineering, or a related field.
3+ years of hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems.
Experience across the full ML lifecycle from experimentation to deploying and maintaining production systems.
Strong proficiency in Python with a solid understanding of software development best practices.
Experience with machine learning libraries and frameworks for agent orchestration such as LangGraph or pydanticAI.
Experience in agentic design, including understanding user interactions and evaluating agent performance.
Demonstrated effective coding, documentation, collaboration, and communication habits.
Strong problem-solving skills and a proactive approach to addressing challenges.

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