
Machine Learning Engineer
New York, NY · HybridJob$209–250K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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Job overview
Kensho Technologies seeks a Machine Learning Engineer to research, prototype, and build predictive products using statistical analysis and machine learning. The role works with large financial datasets and documents, develops and evaluates models, and productionizes algorithms. It requires a master’s degree in a quantitative field and one year of relevant experience, including machine learning, data tools, deployment and operations, research, and agentic systems.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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:
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Medical, Dental, and Vision insurance
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100% company paid premiums
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Unlimited Paid Time Off
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26 weeks of 100% paid Parental Leave (paternity and maternity)
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401(k) plan with 6% employer matching
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Generous company matching on donations to non-profit charities
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Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
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Plentiful snacks, drinks, and regularly catered lunches
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Dog-friendly office (CAM office)
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Bike sharing program memberships
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Compassion leave and elder care leave
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Mentoring and additional learning opportunities
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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 (https://www.spglobal.com/content/dam/spglobal/corporate/en/documents/careers/Corp\_0525-Recruitment-Fraud-Alert.pdf) .
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.
Job ID: 330832
Posted On: 2026-10-30
Location: New York, New York, United States
How this job compares
Set against the 6,099 open Machine Learning Engineer jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$209–250K/yr
- New York median$171–246K/yr407 salary ranges
- US median$148–245K/yr4,859 salary ranges
This range's midpoint, $230K, is 8% above the New York median midpoint ($213K) — in the middle half of Machine Learning Engineer salary ranges in New York.
- Openings
- Olive Jobs lists 519 open Machine Learning Engineer jobs in New York and 6,099 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Capital One41 open
- Amazon39 open
- PwC22 open
- Experience
- This posting asks for at least 1 year of experience — less than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 4,881 postings).
- Education
- This posting asks for a master's degree; 474 of the 6,099 open Machine Learning Engineer jobs (8%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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