Machine Learning Engineer

About the role

Moody's Machine Learning Technology team builds the core technology behind its property intelligence solutions, using machine learning, geospatial imagery and computer vision to measure and monitor the built environment and deliver actionable insights to clients. The role is based in Golden, Colorado or Chicago, Illinois, and is open to US-based candidates only.

Key responsibilities

• Develop practical, scalable and robust machine learning and computer vision solutions that enhance product capabilities and deliver value to clients.
• Collect, clean, preprocess and analyze data to support model development and maximize data value.
• Create visualizations and run exploratory analysis to find patterns, trends, opportunities and data quality issues.
• Train, evaluate, refine and deploy machine learning models aligned with business objectives and product requirements.
• Design, implement and automate large-scale model training, integration and evaluation pipelines.
• Collaborate with machine learning, software engineering, product development, sales and other stakeholders.
• Document and present technical findings to technical and non-technical audiences.
• Run experiments to validate assumptions and improve model performance.
• Follow governance, security, ethical AI and responsible data use practices.

Required profile

• Advanced degree in a Science, Technology, Engineering or Mathematics field.
• Typically at least two years of hands-on industry experience in machine learning, computer vision, data science or a related field.
• Employment eligibility to work in the U.S.; no visa sponsorship offered.
• Leadership in managing AI-related risks, ethical governance and responsible AI adoption.

Required skills

• Python, including NumPy, Pandas and PyTorch.
• Supervised and unsupervised learning, with knowledge of active learning, computer vision and complex deployments.
• CI/CD pipelines, model monitoring and maintenance preferred.
• Jupyter, Docker, Git and cloud platforms such as AWS or GCP.
• Data extraction, transformation and loading from SQL and NoSQL databases; GIS experience preferred.

What we offer

• Anticipated base salary of $95,500 to $138,550 for US-based roles, depending on experience, education, level and location.
• Incentive compensation eligibility.
• Medical, dental, vision, parental leave, paid time off, 401(k), life, disability and accident insurance, employee stock purchase plan and tuition reimbursement.