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S&P Global Senior Machine Learning Engineer in Virtual, Rhode Island

The Role: Senior Machine Learning Engineer

The Location : Princeton, NJ (Hybrid); Virtual- US (Eastern or Central Time)

Grade : 10 (for internal use only)

The Team:

You will be part of a rapidly growing organization, joining the team of highly motivated and professional Data Scientists and Machine Learning Engineers within S & P Global Market Intelligence division. Market Intelligence provides financial and industry data, research, news, and analytics to investment professionals, government agencies, corporations, and universities worldwide. We integrate news, comprehensive market, and sector-specific data and analytics into a variety of tools to help clients track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuations, and assess credit risk.

The Impact:

For this role, we are looking for candidates from a diverse pool of graduate & postgraduate institutions that are passionate to build, scale, and deploy Machine Learning Models that provide timely and essential intelligence to our disparate array of customers across the globe.

What’s in it for you:

We provide a highly inclusive work environment where you can bring your whole self to work to assist S&P Global in achieving its mission of being one of the leading providers of the highest quality risk evaluations and analytical information to the world’s financial markets. As an integral part of our team, you will work on leading-edge state-of-the-art technology stack. In this role, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, creating data pipelines for modeling, scaling models, and developing APIs to help move machine learning models in productions. You will collaborate with data scientists and production-oriented software engineers.


  • Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction

  • Develop AutoML infrastructure for model selection and hyperparameter tuning

  • Create applications and interfaces to present the output of ML models

  • Experiment, develop, and productionize high-quality machine learning services and platforms to have organization-wide technology and business impact

  • Develop a hosting platform for machine learning models.

  • Create pipelines to query, retrieve, and update data for existing applications to keep them up to date

  • Supervise the scaling and management of the machine learning modeling ecosystem

  • Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning

What We’re Looking For:

Basic Qualifications:

  • Possess excellent verbal & written communication skills

  • Expertise in application, data, and infrastructure architecture disciplines

  • Advanced knowledge of architecture and design across all systems

  • Proficiency in multiple machine learning programming languages including Python, PySpark, or Scala

  • 3 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc

  • Able to understand various data structures and common methods in data transformation

  • Knowledge of industry-wide technology trends and best practices

  • Familiarity with MLOps and ModelOps

  • Docker, Kubernetes, AWS, Python

Preferred Qualifications:

  • Ability to work in large, collaborative teams to achieve organizational goals

  • Passionate about building an innovative culture

  • Familiarity with or interest in learning about financial Markets.

Compensation and Benefits Information:

S&P Global states that the anticipated base salary range for this position is $70,300 - $139,800. Base salary ranges may vary by geographic location.

In addition to base compensation, this role is eligible for an annual incentive bonus.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit


About S&P Global Market Intelligence:

At S&P Global Market Intelligence, we know that not all information is important—some of it is vital. Accurate, deep and insightful. We integrate financial and industry data, research and news into tools that help track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuation and assess credit risk. Investment professionals, government agencies, corporations and universities globally can gain the intelligence essential to making business and financial decisions with conviction.

Equal Opportunity Employer

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: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf  describes discrimination protections under federal law.

20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Job ID: 282351

Posted On: 2023-04-23

Location: Princeton, New Jersey, United States