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The R&D-ML team is part of S&P Dow Jones Indices and is an industry leader in the application of artificial intelligence to provide a systematic approach for investors to gain unique and differentiated insights and exposures. Our flagship family of indices describing the industries and innovation of the Fourth Industrial Revolution, the S&P Kensho New Economies, utilizes advanced natural language processing (NLP) and topic modeling and is licensed to some of the largest asset managers in the world.

What's in it for you: You will be responsible for building solutions in support of indices business, leveraging developments and data from across the organization, and contributing to the advancement of machine learning at S&P Global.

Responsibilities: As a Senior Machine Learning Engineer, you will be responsible for tackling a wide range of problems from NLP time-series prediction. You will move beyond the theoretical confines of academia and apply your tradecraft to build machine learning systems on real world data. In this role you will constantly collaborate and work with groups of engineers. Our machine learning team is responsible for delivering ML-based solutions from problem framing, to prototyping, to production application.

• You will conduct original research on large proprietary and open source data sets
• Research, prototype, identify, and build predictive products
• You will build cutting-edge models for understanding vast amounts of textual data
• Write production-grade code
• You will write tests to ensure the robustness and reliability of your productionized models
• You will guide and mentor team members and help educate the business on the art of the possible

Basic Qualifications:

• You are fluent in Python
• Experienced with common machine learning methods such as feature engineering, feature selection, hyperparameter optimization for machine learning models.
• Strong statistical knowledge, intuition, and experience modeling real data
• Demonstrated effective coding, documentation, and communication habits
• Experienced collaborating with others on common code via Github, reviewing Pull Requests, and managing merge conflicts.
• Have sound work practices and an ability to be given high level tech instructions and deriving tasks along with expected timeframes.

Preferred Qualifications:

• Deep learning models for text classification and information extraction such as Language Models and Transformers.
• You have 3+ years of experience being a major machine learning contributor in the industry.

Return to Work Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

S&P Global states that the anticipated base salary range for this position is $100,800 to $230,200. Base salary ranges may vary by geographic location. 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, visit https://www.spgbenefitessentials.com/newhires

At S&P Dow Jones Indices, our role can be described in one word: essential. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500(r) and the Dow Jones Industrial Average(r). More assets are invested in products based upon our indices than any other index provider in the world; with over 1,000,000 indices, S&P Dow Jones Indices defines the way people measure and trade the markets. We provide essential intelligence that helps investors identify and capitalize on global opportunities. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit www.spdji.com.

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.

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