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Machine Learning Engineer

In short. Machine Learning Engineer at S&P Global: a full-time mid-level role, on-site in New York, NY. Posted salary: $209K – $250K. Skills mentioned: Machine learning, LLMs, AI agents, Generative AI. Posted Oct 30, 2026, checked on the employer's site 2 min ago.

Salary$209K – $250K / year
LocationNew York, NY
FormatOn-site
TypeFull-time
LevelMid level
PostedOct 30, 2026 · yesterday
Checked on S&P Global's careers page 2 min ago · via Workday0 views
  • Early applicant
  • Salary listed

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Skills mentioned

About the role

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.

Company Name: Kensho Technologies LLC

Job Title: Machine Learning Engineer

Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office)


Job Duties: Kensho Technologies LLC seeks a Machine Learning Engineer who will identify, research, prototype, and build predictive data-driven products based on statistical analysis and machine learning. Conduct original research and data analysis on large proprietary and open-source data sets to identify interesting patterns, associations, correlations, outliers, and anomalies. Formulate and test hypotheses about the distributions and regularities underlying the data. Design, implement, and evaluate statistical and machine learning models for explaining and predicting patterns in vast amounts of financial data, including financial documents. Write production code implementing predictive models and algorithms. Write tests to ensure the robustness and reliability of productionized models. Conduct peer review of research, prototypes, models, and code. Remain current in the theory and application of statistical and machine learning techniques. Maintain and acquire expertise with tools and packages for numerical and statistical programming, data analysis, and machine learning modeling.


Job Requirements: Master’s degree in Computer Science, Statistics, Data Science, or related quantitative field plus one (1) year of experience in data science or a related quantitative occupation. One (1) year of experience must include: Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas, Scikit-learn; Data Management and Storage tools; Deployment and Machine Learning operations; Conducting and publishing Machine Learning research and producing code; Agentic systems, including Large Language Model (LLM) code generation and tool utilization.


The anticipated base salary range for this position is $209,000 to $250,300. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. Kensho Technologies LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see: https://spgbenefits.com/benefit-summaries/us.

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.

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Questions & answers

What is the salary for this Machine Learning Engineer role?
S&P Global lists $209K – $250K per year.
Is this job remote?
It is on-site in New York, NY.
How do I apply to S&P Global?
Use the Apply button. It opens the application on S&P Global's own careers site; no account on Sudo Get Job is needed.
What do Machine Learning Engineer jobs pay in New York, NY?
The median advertised base salary is $225K a year across 214 open listings.