CME Group

Staff Machine Learning Engineer

CME Group • $150K — $200K *
San Francisco, CA 94112In-Person
Information Technology
5 - 7 years of experience
More than 3 months ago
Job Overview by Ladders

Qualifications

  • PhD or Master's in Computer Science, Statistics, Engineering, or related field.
  • 5+ years in Machine Learning or Data Science, with successful project delivery.
  • Deep understanding of machine learning algorithms and the entire ML lifecycle.
  • High proficiency in Python and its machine learning libraries like Scikit-Learn and Pandas.
  • Strong communication skills, both written and verbal.
  • Experience with AWS and cloud data services.

Responsibilities

  • Collaborate with global teams on impactful data products.
  • Develop and optimize ML pipelines for global lending applications.
  • Enhance scalable ML infrastructure for data product performance.
  • Mentor engineers and data scientists in ML best practices.
  • Lead the end-to-end development of data products.

Benefits

  • Opportunity to work on high-impact global projects.
  • Mentorship and leadership development opportunities.
  • Collaborative environment with international teams.
  • Focus on cutting-edge machine learning technologies.
  • Career advancement potential in a rapidly evolving field.
Full Job Description
Job Description
Responsibilities
  • Collaborate with global teams to deliver high-impact data products for worldwide deployment.
  • Develop and maintain ML pipelines to optimize critical processes for global lending products, including anti-fraud systems, credit strategy, and marketing optimization.
  • Enhance and maintain scalable machine learning infrastructure to support robust data product performance.
  • Mentor engineers and data scientists on best practices in ML engineering, fostering a culture of excellence and knowledge sharing.
  • Lead data product development from ideation through to large-scale deployment, ensuring end-to-end execution.


Requirements
Qualifications
  • PhD or Master's degree in Computer Science, Statistics, Engineering, or a related field.
  • 5+ years of experience as a Machine Learning Engineer, Data Scientist, or in a closely related role, with a proven track record of delivering impactful solutions.
  • Deep expertise in machine learning algorithms, frameworks, and the full ML lifecycle, including data extraction, feature engineering, model serving, and monitoring for both live and batch processing.
  • Strong software design skills with high proficiency in Python and related libraries/frameworks (e.g., Scikit-Learn, Pandas, Flask, FastAPI).
  • Excellent interpersonal skills, with strong written and verbal communication abilities.
  • Demonstrated experience with cloud providers (AWS preferred) and associated data services.

About CME Group

CME Group Inc. is a global markets company. It owns large derivatives, options and futures exchanges in Chicago and New York City using its CME Globex trading platforms. It also owns CME Clearing which provides settlement and clearing of exchange trades. The company offers trading in a wide range of products across various asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, and metals. CME Group was formed in 2007 through the merger of the Chicago Mercantile Exchange (CME) and the Chicago Board of Trade (CBOT). The company is headquartered in Chicago, Illinois and has offices in New York City, London, Belfast, Tel Aviv, Dubai, Singapore, and Tokyo.
Learn more about CME Group
Size
3,480 employees
Market Cap
$60.2 billion
Industry
Finance & Insurance
Net Income
$2.1 billion
Founded
1848
5 Year Trend
+5.5%
Revenue
$4.8 billion
NASDAQ
CME
* Ladders Estimates

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