Machine Learning Engineer

2 days ago

Remote, United States or New York, NY, USAEntry Level

H1B sponsor

Base Salary

$209k - $250k/yr

Responsibilities

Identify, research, prototype, and build predictive data-driven products using statistical analysis and machine learning.
Analyze large proprietary and open-source datasets to identify patterns, 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 reviews of research, prototypes, models, and code.
Maintain and acquire expertise in numerical programming, statistical programming, data analysis, and machine learning tools and packages.

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 tools; 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.
Experience with Jupyter, Matplotlib, Pandas, and Scikit-learn.

Telecommuting is permitted within normal commuting distance of the New York, NY office.
Health care coverage, generous time off, continuous learning resources, retirement planning, continuing education support, student loan contribution, financial wellness programs, family benefits, retail discounts, and referral incentive awards.
The role is eligible for an annual incentive plan and additional S&P Global benefits.

MatplotlibPandasscikit-learn