1,728,171open jobs
102,439companies
257,596added this week
Browse all
Salary
≈ $123k – $231k per year (Estimated)
Location
In office (New York, Cambridge)
Seniority
Middle · 3+ years exp
Visa
H-1B filings in 12 months: 44 · for this role: 12 · green card filings: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 13, 2026. S&P Global scores A on the Alion truth index.

Overview
Company
Impact
Profile match
S&P Global is an American financial information company whose oldest predecessor was founded in 1860, and which took its present form through the 2022 merger with IHS Markit. Its most profitable business is the credit rating agency S&P Global Ratings, alongside market data and analytics through Market Intelligence, the index business behind the S&P 500, commodity price assessments through Platts, and Mobility, which owns the Carfax vehicle history service. Headquartered in New York and listed on the New York Stock Exchange, it earns most of its revenue from subscriptions and recurring fees rather than transaction-linked ratings work.

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

The Machine Learning (ML) Team at Kensho is redefining how powerful financial data fuels the next generation of data-driven AI workflows.

We are fundamentally shaping how AI-aided human interactions with complex financial data are facilitated. Our team focuses on creating agentic experiences that enable complex report generation, deep research workflows, and novel user journeys - all with robust evaluation. We are also at the forefront of developing novel methods for retrieving and synthesizing both structured (tabular data from relational databases) and unstructured data using natural language interfaces.

Our solutions are integrated into multiple S&P Global and third-party platforms, allowing our clients (1, 2) to leverage powerful financial data in ways that drive insights and support their strategic objectives.

We are seeking a mid-level Machine Learning Engineer to join our team and help shape the future of Agentic AI systems. This is a hands-on, full-lifecycle (from experimentation to productionization) ML role with a strong emphasis on developing and orchestrating intelligent agent frameworks, designing novel and robust retrieval methods, validating AI-generated outputs, and building scalable systems that connect data to actionable insights.

If you are passionate about building the next wave of AI-driven products, thrive in a collaborative, fast-paced environment, and are eager to push the boundaries of what’s possible with data and intelligent agents, we would love to hear from you!

Kensho states that the anticipated base salary range for the position is 140k - 180k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You’ll Do:

  • 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.

What You'll Need:

  • 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

At Kensho, we pride ourselves on providing top-of-market benefits, including:

  • Medical, Dental, and Vision insurance

  • 100% company paid premiums

  • Unlimited Paid Time Off

  • 26 weeks of 100% paid Parental Leave (paternity and maternity)

  • 401(k) plan with 6% employer matching

  • Generous company matching on donations to non-profit charities

  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

  • Plentiful snacks, drinks, and regularly catered lunches

  • Dog-friendly office (CAM office)

  • Bike sharing program memberships

  • Compassion leave and elder care leave

  • Mentoring and additional learning opportunities

  • Opportunity to expand professional network and participate in conferences and events

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to[email protected]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,728,171 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
New York
≈ $127k – $280k per year (Estimated) • In office • Full-Time • 2+ years exp • San Francisco
AI/ML
Qwen
vLLM
RLHF
Reinforcement Learning
JAX
Multimodal AI
Function Calling
Chain-of-Thought
AI Agents
NLP
SGLang
TRL
Transformers
PyTorch
Hallucination
LLaVA
DPO
SFT
GRPO
Post-training
Interpretability
Tool Use
Reward Modeling
Machine Learning
Apply
$143k – $193k per year • Equity • In office • Full-Time • Master's Degree • Bellevue
Python
AI/ML
Reinforcement Learning
TensorFlow
PyTorch
Stable-Baselines3
Ray
RLlib
Machine Learning
Apply
$168k – $227k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Bellevue
AI/ML
Fine-tuning
Prompt Engineering
Chain-of-Thought
AI Agents
NLP
LLM
RAG
Few-Shot Learning
Tool Use
Apply
$143k – $193k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Bellevue
Python
Java
C++
AI/ML
Machine Learning
Management
Agile
Apply
$167k – $226k per year • Equity • In office • Full-Time • 5+ years exp • PhD • Bellevue
Python
AI/ML
Reinforcement Learning
TensorFlow
PyTorch
Machine Learning
Apply
≈ $68k – $174k per year (Estimated) • In office • Full-Time • 6+ years exp • Cairo
Python
TypeScript
AI/ML
LangGraph
LangChain
Computer Vision
AI Agents
LLM
Anomaly Detection
EU AI Act
Machine Learning
DevOps
Azure
CI/CD
Cybersecurity
GDPR
Apply
≈ $29k – $85k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Zagreb
Python
JavaScript
TypeScript
C#
Node JS
Databases
MySQL
PostgreSQL
MS SQL
Frontend
Angular
React.js
DevOps
CI/CD
AWS
Ubuntu
CentOS Stream
Linux
Management
Agile
Apply
Remote (India) • Full-Time
Python
Verilog
SystemVerilog
VHDL
Perl
AI/ML
Reinforcement Learning
AI Agents
Post-training
Chips/EDA
Verilator
OpenROAD Project
UVM
Xilinx Vivado
Yosys
Cocotb
Apply
≈ $9k – $21k per year (Estimated) • In office • Full-Time • 10+ years exp • Bachelor's Degree • Bengaluru
Python
SQL
AI/ML
Copilot
DevOps
Azure DevOps
Azure
Analytics
Power BI
Microsoft Excel
Management
Power Automate
Power Apps
SharePoint
Apply
$59k – $78k per year • Hybrid • Full-Time • Bachelor's Degree • Stamford • Irving
Python
SQL
AI/ML
LLM
Machine Learning
Analytics
Power BI
Apply
In office • Internship • Bachelor's Degree • Cambridge • New York
Python
Python
FastAPI
Databases
PostgreSQL
pgvector
SQLite
OpenSearch
AI/ML
LangGraph
DVC
Weights & Biases
LangChain
Spark
Airflow
Claude Code
DeepSpeed
vLLM
XGBoost
AI Agents
Speech Recognition
Arize Phoenix
Gradio
LightGBM
Langfuse
LiteLLM
Pydantic AI
Transformers
Pandas
PyTorch
LLM
RAG
Streamlit
Ray
Semantic Search
Hugging Face
Context Engineering
Semantic Search
Machine Learning
DevOps
Jenkins
AWS
Docker
Grafana
Amazon S3
Analytics
Matplotlib
Apply
≈ $123k – $231k per year (Estimated) • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • New York • Cambridge
Python
Databases
PostgreSQL
pgvector
Pinecone
OpenSearch
AI/ML
Weights & Biases
LangChain
Claude Code
LlamaIndex
Prompt Engineering
AI Agents
NLP
LiteLLM
Transformers
PyTorch
LLM
RAG
Hugging Face
GraphRAG
Machine Learning
DevOps
Jenkins
AWS
Docker
Kubernetes
GitHub
Apply
AI Product Specialist 2 months ago
≈ $134k – $252k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • New York • Cambridge
AI/ML
Edge AI
Machine Learning
Apply
≈ $130k – $245k per year (Estimated) • Equity • In office • Full-Time • 2+ years exp • New York • Cambridge
Python
AI/ML
LangGraph
Weights & Biases
LangChain
Model Context Protocol
Fine-tuning
Reinforcement Learning
AI Agents
Langfuse
AWS Bedrock
PyTorch
LLM
Ray
Amazon SageMaker
Machine Learning
DevOps
Terraform
Prometheus
Git
AWS
Kubernetes
Jsonnet
Amazon EKS
GitHub
QA
Sentry
Apply
AI+ Finance Lead 29 days ago
$115k – $201k per year • Hybrid • Full-Time • 8+ years exp • London • New York
AI/ML
NLP
Apply
≈ $120k – $265k per year (Estimated) • In office • 2+ years exp • PhD • New York
Python
AI/ML
Scikit-learn
Pandas
NumPy
Apply
$130k – $159k per year • Equity • Remote (United States) • Full-Time • 5+ years exp • Bachelor's Degree • New York
Python
JavaScript
TypeScript
C#
AI/ML
LangGraph
LangChain
Claude
AI Agents
Semantic Kernel
Gemini
LLM
RAG
OpenAI
Anthropic
Knowledge Graph
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
QA
Rest-Assured
Apply
$277k – $364k per year • Equity • In office • Full-Time • 8+ years exp • New York
Python
AI/ML
Function Calling
AI Agents
LLM
LLM Guardrails
Tool Use
DevOps
Kubernetes
IAM
Cybersecurity
OWASP Top 10
Apply
Bartender 1 day ago
$48k per year • In office • Full-Time • High School Diploma • New York
Apply
≈ $101k – $190k per year (Estimated) • Remote (United States) • 5+ years exp • Chicago • New York
AI/ML
AI Agents
Marketing
HubSpot
Apply
See all jobs
This is one of many
1,728,171 more open roles from verified company boards, updated every day.