Let's begin! Machine Learning Engineer

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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.

Employment eligibility to work in the U.S. is required as Moodys will not pursue visa sponsorship for this position

Skills and Competencies

• Expertise in Python programming including machine learning libraries such as NumPy Pandas and PyTorch
• Experience with machine learning operations practices including continuous integration and continuous deployment pipelines model monitoring and model maintenance preferred
• 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 building data tools for extract transform and load processes extracting data from SQL and NoSQL databases and conducting advanced data analysis
• Experience with geographic information systems preferred
• 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. 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

• 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

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 machine learning model development and maximize data value
• Create visualizations and conduct 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

About the Team

Our Machine Learning Technology team is responsible for the core technology behind award-winning property intelligence solutions. We leverage machine learning geospatial imagery and computer vision to measure and monitor the built environment while delivering actionable insights to clients. By joining our team 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 our products and solutions.

For US-based roles only: the anticipated hiring base salary range for this position is$95500.00-$138550.00 depending on factors such as experience education level skills and location. This range is based on a full-time addition to base salary this role is eligible for incentive compensation. Moodys 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.

Moodys 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 statussexual orientation gender identity gender expression genetic information physical or mental disability military or veteran status or any other characteristic protected by law. Moodys 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 . 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.