Senior Machine Learning Engineer

As a Senior ML Engineer, you will work across a broad set of machine learning areas at Kensho. This includes building retrieval-driven AI agents that ground LLM outputs in trusted S&P data, as well as developing and operating production-grade machine learning systems that power our essential AI toolkits like Kensho Link or NERD . Across these areas, your focus will be on creating reliable, scalable, and transparent ML solutions that deliver real value to users.

This role is ideal for engineers who:

Enjoy building robust, production-grade ML systems end to end

Have strong ML fundamentals, with a practical understanding of the backend and deployment work needed to run these systems in production

Want to work across data, retrieval, modeling, and system design

You will partner with ML engineers, backend engineers, and product managers to drive the next generation of Kensho’s AI products.

Kensho is expanding its portfolio of ML-powered products, and we are looking for engineers who are excited to build and deploy state-of-the-art ML systems at scale. You will have the opportunity to influence key architectural decisions, experiment with new approaches, and accelerate the pace at which we prototype, develop, and maintain high-impact ML solutions.

We are seeking a mid-to-senior level Machine Learning Engineer who can help elevate and streamline our ML development lifecycle, setting a high bar for excellence in modeling, deployment, and production operations.

Bachelor's degree or higher in Computer Science, Engineering, or a related field.

5+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems.

Strong proficiency in Python .

Experience reading and understanding SQL databases and writing queries for specific access patterns.

Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.

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.

Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain.

(Preferred) Experience working with RAG based system

Develop Advanced ML Systems : Create, refine, and deploy machine learning systems that solve complex business problems and power Kensho products.

Build Retrieval-Driven AI Agents : Design AI agents that fetch, validate, and structure data from S&P datasets, ensuring answers produced by LLMs are grounded in S&P’s data universe.

Evaluate LLM-based Agents : Identify and resolve performance gaps in both online and offline settings, addressing issues such as performance, latency, memory usage, compute efficiency, and feature consistency.

Work With Domain Specific Data : Leverage proprietary structured and unstructured datasets, deep dive to have domain understanding, work with Subject Matter Experts (SMEs).

Scale ML Applications : Optimize and scale ML systems to support high demand, efficient resource utilization, and reliable production behavior.

Reduce Technical Debt : Proactively identify areas of the stack that can be improved, and propose solutions that strengthen reliability and maintainability.

Taking Initiative : Scope, plan, and execute ML initiatives that develop core capabilities across Kensho products.

Collaborate Across Teams : Work closely with Data, Product, Design, and Engineering teams to ensure smooth operations and contribute to long-term product vision.

Improve User Experiences : Partner with Product and Design to develop ML-driven functionality that enhances user workflows and aligns with business needs.

Drive the ML Lifecycle: Engage in all phases of the ML lifecycle, from problem framing and data exploration to model deployment and production monitoring, ensuring continuous improvement.

Traditional ML: Scikit-learn, XGBoost, LightGBM

ML/Deep Learning: PyTorch, Transformers, HuggingFace, LangChain

Deployment tools such as: Docker, Amazon EKS, Jenkins, AWS

EDA/Visualization : Pandas, Matplotlib, Jupyter, Weights & Biases

Tools/Toolkits: DVC, MosaicML, NVIDIA NeMo, LabelBox

Techniques : RAG, Prompt Engineering, Information Retrieval, Data Embedding

Datastores : Postgres, OpenSearch, SQLite, S3

What’s In It For You?

Advancing Essential Intelligence.

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values: Integrity, Discovery, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include:

Health & Wellness: Health care coverage designed for the mind and body.

Flexible Downtime: Generous time off helps keep you energized for your time on.

Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

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S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal