Moody’s is seeking a Machine Learning Engineer to design and deliver practical, scalable machine learning and computer vision solutions. The role focuses on building and deploying ML models, setting up training and evaluation pipelines, and working with cross-functional partners to support product value for clients.
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 perform exploratory analysis to identify 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 cross-functional stakeholders to deliver innovative solutions.
- Communicate technical findings and recommendations to both technical and non-technical audiences through clear documentation and presentations.
- Design and execute experiments to validate assumptions, improve model performance, and support data-driven decision making.
- Ensure projects follow governance, security, ethical AI, and responsible data use practices while identifying and resolving operational inefficiencies.
Required Qualifications
- Advanced degree in a Science, Technology, Engineering, or Mathematics field required.
- Typically requires a minimum of two years of hands-on industry experience in machine learning, computer vision, data science, or a related field.
- Expertise in Python programming, including machine learning libraries such as NumPy, Pandas, and PyTorch.
- Experience building data tools for extract, transform, and load processes, extracting data from SQL and NoSQL databases, and conducting advanced data analysis.
- Excellent written and verbal communication skills, with the ability to understand and articulate business requirements and objectives to both technical and non-technical stakeholders.
- Expertise in supervised and unsupervised machine learning algorithms and their implementations, including advanced concepts such as active learning, computer vision, and deployments in complex environments.
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency, using AI tools to lead innovation initiatives, and managing AI-related risks with ethical governance and responsible AI adoption across the organization.
Preferred Qualifications
- Experience with machine learning operations practices, including continuous integration and continuous deployment pipelines, model monitoring, and model maintenance.
- Expertise with modern machine learning tools and platforms, including Jupyter, Docker, Git, and cloud computing environments such as Amazon Web Services or Google Cloud Platform.
- Experience with geographic information systems.
Technologies
- Python, NumPy, Pandas, PyTorch
- Jupyter, Docker, Git
- Amazon Web Services, Google Cloud Platform
- SQL, NoSQL
Location and Compensation
Location: Golden, CO (onsite)
Salary: USD 95,500 - 138,550 per yearly
Benefits
- Incentive compensation
- Medical, dental, and vision
- Parental leave
- Paid time off
- 401(k) plan with employee and company contribution opportunities
- Life insurance
- Disability insurance
- Accident insurance
- Discounted employee stock purchase plan
- Tuition reimbursement
About the Team
Moody’s Machine Learning Technology team is responsible for core technology behind award-winning property intelligence solutions. The team applies machine learning, geospatial imagery, and computer vision to measure and monitor the built environment and deliver actionable insights to clients.
In this role, you will contribute to innovative work that helps organizations better understand how homes and workplaces can withstand evolving climate and economic risks, while advancing the responsible adoption of artificial intelligence across Moody’s products and solutions.
