Machine Learning Engineer

2 days ago

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

H1B sponsor

Base Salary

$209k - $250k/yr

Responsibilities

Research and analyze large proprietary and open-source datasets to identify patterns, correlations, outliers, anomalies, and other predictive signals.
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 and publish machine learning research and peer-review 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.
One year of experience with machine learning and artificial intelligence tools; data preprocessing, exploration, and visualization using Jupyter, Matplotlib, Pandas, and Scikit-learn; data management and storage; deployment and machine learning operations; machine learning research and code production; and agentic systems involving large language model code generation and tool utilization.

Health care coverage and wellness benefits.
Generous paid time off and flexible downtime.
Continuous learning resources and career development support.
Retirement planning, continuing education, company-matched student loan contributions, and financial wellness programs.
Family-friendly benefits, retail discounts, and referral incentive awards.
Telecommuting is permitted within normal commuting distance of the New York, NY office.

MatplotlibPandasscikit-learn