below marketmost similar roles pay hereabove market
This role pays less than
92%
of similar roles. Most pay
$195,112–$249,600
— the blue band above.
At the midpoint, this role pays about
$160k
versus about
$222k
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
39 open roles
on FindRole.
Listed pay typically runs
$145,245–$200,000
across 36 roles with salary data.
JOB TITLE: Machine Learning Engineer II
The Machine Learning Engineer II joins the DRIVE Team at Kensho to design and deploy production-grade machine learning systems powering next-generation agentic search pipelines. This role involves building and scaling RAG systems, developing LLM-based solutions for retrieval and ranking, and optimizing retrieval systems over large-scale proprietary datasets. You will work on end-to-end pipelines integrating chunking algorithms, embedding models, and vector databases to make complex unstructured data actionable for enterprise search and knowledge discovery. Required skills include Python, PyTorch, Transformers, HuggingFace, and LLM orchestration tools like LangChain or LlamaIndex. You will utilize vector databases such as PostgreSQL/PGVector or Pinecone. The work focuses on solving technical challenges in vector search, indexing strategies, and GraphRAG to enhance deep research and report generation experiences.
What does a Machine Learning Engineer earn in New York?
Median $231150 from 50 postings across 20 companies.
Python
PyTorch
C++
Linux
Machine Learning
Computer Vision
Robotics
High-Performance Computing
System Design
Algorithm Development
Data Mining
Auto-labeling
Physical AI
Causal Modeling