Machine Learning Engineer-Computer Vision

Moody's; Golden (CO); On-site; USD 96,000 - 139,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Parental leave

Paid time off

401(k) plan

Employee stock purchase plan

Tuition reimbursement

Job summary

Moody's Corporation is hiring for a senior ML-focused role within our Machine Learning Technology team in the Insurance division. You will build scalable ML and computer vision solutions, leveraging geospatial imagery to measure and monitor risk for clients.

The role requires strong Python, ML, and MLOps expertise, with experience in cloud platforms (AWS/GCP) and data tooling. Collaboration across ML, software, product, and sales is key, with a focus on responsible AI and governance.

Qualifications

• Bachelor's degree in a Science, Technology, Engineering, or Mathematics field, or equivalent practical experience.
• Expertise in supervised and unsupervised machine learning algorithms and their implementations, including active learning, computer vision, and deployments in complex setups.
• Expertise in Python programming with ML libraries (NumPy, Pandas, PyTorch).
• Experience in MLOps practices, CI/CD pipelines for ML models, monitoring and maintenance is a plus.
• Expertise with modern ML stack tools (Jupyter, Docker, Git) and cloud platforms (AWS or GCP).
• Experience building data tools for ETL, extracting data from SQL/NoSQL databases and data analysis.
• Geographic Information Systems experience is preferred.
• Deep AI expertise with leadership in AI innovation, risk governance, and responsible AI adoption.

Responsibilities

• Build practical, robust, and scalable ML and computer vision solutions as part of a high-performing team.
• Collect, clean, and preprocess data including imagery and geospatial data for CV applications.
• Create visual representations of complex findings for technical and non-technical audiences.
• Train and refine ML and CV models based on business objectives; improve performance by addressing failure modes.
• Design, implement, and automate large-scale model training, integration, and evaluation pipelines including CV workflows.
• Support a robust, secure computing environment for ML apps with IT collaboration.
• Collaborate with ML, software, product, and sales teams to communicate findings.
• Participate in project planning and quarterly planning; document findings clearly.

Skills

Communication

ML algorithms

Python

MLOps

Docker

Cloud (AWS/GCP)

SQL/NoSQL

Geospatial data

AI governance

Education

Bachelor's degree in STEM or equivalent

Tools

Jupyter

Docker

Git

AWS or GCP

NumPy

Pandas

PyTorch

Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies

• 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 setups, beyond the standard approaches
• Expertise in Python programming, including machine learning-relevant libraries such as NumPy, Pandas, and PyTorch
• Experience in machine learning operations (MLOps) practices, including continuous integration and continuous deployment pipelines for machine learning models, model monitoring, and maintenance is a plus
• Expertise with tools in the modern machine learning stack, including Jupyter, Docker, Git, and cloud computing platforms such as Amazon Web Services or Google Cloud Platform
• Expertise in building data tools for extract, transform, and load processes, extracting data from SQL and NoSQL databases, and data analysis
• Experience with Geographic Information Systems is preferred
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization

Education

• Bachelor's degree in a Science, Technology, Engineering, or Mathematics field, or equivalent practical experience

Responsibilities

Build practical, robust, and scalable machine learning and computer vision solutions as part of a high-performing team, driving core product innovation and delivering measurable value to clients.

• Collect, clean, and preprocess data including imagery and geospatial data for computer vision applications to maximize data value, and conduct exploratory analysis to understand distributions, patterns, and data quality
• Create visual representations of complex findings to support both technical and non-technical audiences, and identify new and existing data sources to optimize and validate models
• Train and refine machine learning and computer vision models based on business objectives, improving performance by identifying and correcting failure modes
• Contribute to the design, implementation, and automation of large-scale model training, integration, and evaluation pipelines including computer vision workflows while ensuring responsible and ethical use of data
• Support a robust and secure computing environment for machine learning applications in coordination with engineering and information technology teams
• Collaborate with cross-functional teams including machine learning, software engineering, product development, and sales to communicate technical findings and contribute to the knowledge base
• Participate in project planning and prioritization discussions, contribute to quarterly planning by proposing projects, and document findings in a clear and accessible manner for all audiences
• Other duties and responsibilities as assigned

About the Team

Our Machine Learning Technology team sits within Moody's Insurance business and is responsible for the core technology behind our award-winning property intelligence solutions. We leverage machine learning, geospatial imagery, and computer vision to measure and monitor the built environment, delivering critical insights that help insurance professionals better assess and manage risk. By joining our team, you will be part of exciting work at the intersection of insurance and property intelligence, helping to better understand how our homes and workplaces can withstand the changing climate and economic risks of the 21st century.

For US-based roles only: the anticipated hiring base salary range for this position is$95,500.00-$138,550.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.