S&P Global

Machine Learning Engineer

S&P Global
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2 days ago

Base Salary

$209k - $250k/yr

Responsibilities

  • Research, prototype, build, and evaluate predictive data-driven products using statistical analysis and machine learning.
  • Analyze large proprietary and open-source datasets to identify patterns, associations, correlations, outliers, and anomalies.
  • Formulate and test hypotheses about data distributions and regularities.
  • Design, implement, and evaluate statistical and machine learning models for financial data and 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.
  • Maintain and develop expertise in statistical, numerical, data analysis, and machine learning tools and techniques.

Requirements

  • Master’s degree in Computer Science, Statistics, Data Science, or a related quantitative field.
  • At least one year of experience in data science or a related quantitative occupation.
  • At least one year of experience with machine learning and artificial intelligence tools, data preprocessing, exploration and visualization, Jupyter, Matplotlib, Pandas, Scikit-learn, data management and storage, deployment and machine learning operations, machine learning research and code production, and agentic systems including large language model code generation and tool utilization.

Benefits

  • Base salary range of $209,000 to $250,300 plus eligibility for an annual incentive plan.
  • Medical, dental, and vision insurance with 100% company-paid premiums.
  • Unlimited paid time off and 26 weeks of 100% paid parental leave.
  • 401(k) plan with 6% employer matching.
  • Company matching for donations to nonprofit charities.
  • Up to $20,000 in tuition assistance for degree programs and up to $4,000 per year for professional education such as industry conferences.
  • Mentoring, learning opportunities, professional networking, conferences, and events.
  • Plentiful snacks, drinks, catered lunches, a dog-friendly office, bike-sharing memberships, compassion leave, and elder care leave.
  • Telecommuting permitted within normal commuting distance of the New York, NY office.

Tech Stack

MatplotlibPandasscikit-learn

Categories

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