Principal Machine Learning Engineer Job at S&P Global in Princeton

Overview

The Team: Our machine learning team specializes in working with large datasets to create cutting-edge AI capabilities that drive enterprise-wide automation opportunities. We value collaboration within our team and across the Gen AI organization, fostering innovation from a blank slate approach. The team brings together Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to create innovative solutions at enterprise scale using historically rich data.

About The Role

Grade Level (for internal use): 12

Lead II, Machine Learning Engineer

Responsibilities and Impact:

• Play a part in the design and development of scalable machine learning models and algorithms to process large datasets and extract actionable insights
• Engineer end-to-end ML pipelines from data ingestion through model deployment and monitoring in production environments
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to deliver enterprise-scale AI solutions
• Research and implement cutting-edge machine learning techniques and frameworks to solve complex business problems
• Automate solutions that can be deployed across the enterprise, identifying opportunities for process improvement and efficiency gains
• Work in a collaborative environment to execute innovative capabilities in an enterprise setting

Compensation/Benefits Information (This section applies only to US candidates) S&P Global states that the anticipated base salary range for this position is $108,000 to $200,000. The final base salary will be based on the individual’s geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We're Looking For

Basic Required Qualifications:

• Master's degree in Computer Science, Machine Learning, Data Science, or related technical field, or equivalent professional experience
• 5+ years of hands-on experience in machine learning engineering, model development, and deployment with demonstrated leadership experience
• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar technologies
• Strong programming skills in languages such as Python, R, or Scala with experience in software development best practices
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling
• Proven leadership and mentoring abilities with strong analytical and problem-solving skills

Additional Preferred Qualifications

• Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar platforms for model lifecycle management
• Knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, or similar platforms
• Previous experience leading cross-functional teams and driving technical strategy in collaborative environments

About S&P Global Ratings

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit www.spglobal.com/ratings

What’s In It For You?

Our Mission: Advancing Essential Intelligence.

Our People: We’re more than 35,000 strong worldwide—driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future. We are committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.

Our Values

Integrity, Discovery, Partnership. We collaborate with each other and our customers to achieve shared goals.

Benefits

We take care of you, so you can take care of business. Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body
• Flexible Downtime: Generous time off
• Continuous Learning: Access to resources to grow your career
• Invest in Your Future: Competitive pay, retirement planning, education support, and financial wellness programs
• Family Friendly Perks: Benefits for partners and children
• Beyond the Basics: Discounts and additional perks

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

Global Hiring And Opportunity At S&P Global

We are committed to a connected and engaged workplace where opportunities are based on skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit.

Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or other regionally based domains, it is a scam. Do not pay for job applications, interviews, or any pre-employment fees. Report suspected fraud to reportfraud@spglobal.com.

Equal Opportunity Employer: S&P Global is an equal opportunity employer. If you need an accommodation during the application process due to a disability, please email EEO.Compliance@spglobal.com.

Job Details US Candidates Only: The EEO is the Law Poster and Pay Transparency notices apply. Job ID: 312048. Posted On: 2026-03-03. Location: New York, New York, United States