Moody's
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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.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
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
Bachelor's degree in a Science, Technology, Engineering, or Mathematics field, or equivalent practical experience
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
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 accommodations@moodys.com. 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.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
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.
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