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aimlroles

Machine Learning Engineer

S&P Global Open · verified Nov 1, 2026
New York Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at S&P Global. New York · full-time · $209,000–$250,300 base.

SalaryStated by S&P Global
$209,000 – $250,300
Base salary for this role, in USD per year, as published in the posting.
This role, from S&P GlobalOur estimate for the market: $167,038–$229,913Median $219,100
The range includes the market median of $219,100 for mid-level machine learning engineering roles in New York.
Worked out from 26 postings that stated pay, median $219,100. Last updated Oct 30, 2026.
RoleMachine Learning Engineering
SeniorityMid-level
LocationNew York
EmploymentFull-time
Base pay$209,000–$250,300
PostedOct 30, 2026 · 2d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Explore large financial and other datasets to find patterns, relationships, unusual values and anomalies
  • Develop and assess statistical and machine learning models that explain or predict trends in financial data and documents
  • Turn predictive methods into production software, then write tests to check model reliability
  • Review colleagues’ research, prototypes, models and code, while keeping your knowledge of ML methods current

What you bring

  • A master’s in computer science, statistics, data science or another quantitative discipline, plus at least one year in data science or related work
  • At least one year using ML and AI tools, data preparation and analysis tools, storage systems, and deployment or ML operations
  • Research and coding experience that includes publishing ML work and building agentic systems using LLM code generation and tools

Who this fits

This role suits a mid-level engineer with quantitative training who can work across research, modeling and production code. The position is based in New York, with telecommuting allowed within normal commuting distance of the New York office.

From the employer

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 reportfraud@spglobal.com. 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.

Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Machine Learning Engineering$200k+

Find me work

By the team behind aimlroles.

Find me work
Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.