Assc Dir-Machine Learning Engineer

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. 

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. 

Skills and Competencies

• 5+ years of full-stack software development experience.
• Proficiency in Python and TypeScript.
• Strong experience with both relational databases (e.g., Postgres) and NoSQL data stores (e.g., MongoDB).
• Hands-on experience training and deploying machine learning models.
• Demonstrated ability to lead projects, make architectural decisions, and mentor other engineers.
• Experience with modern front-end frameworks (e.g., React, Vue) and DevOps practices (e.g., Docker, Kubernetes) is preferred.
  
  

Education

• A formal degree is not required; we are most interested in your skills, experience, and motivation.
  
  

Responsibilities Lead and develop practical AI and automation solutions that fundamentally change how Moody's operates.

• Lead by example with hands-on development (~50%), writing clean, testable code in Python and TypeScript to build and refactor systems.
• Drive technical strategy and architecture (~25%), making key design decisions for scalable and robust services and ML solutions.
• Provide team leadership and mentorship (~25%), overseeing project execution and fostering the growth of other engineers.
• Collaborate within an agile team to solve complex business problems for some of the world's largest organizations using innovative technology.
• Embrace a full-stack, hands-on mentality to contribute across the entire product lifecycle.
  
  

About the team
Our Disruption team drives operational excellence by identifying breakthrough opportunities and implementing smarter ways to work. We focus on practical automation solutions and applied AI that deliver real business impact across the organization. From streamlining complex workflows to deploying cutting-edge technology where it matters most, we're constantly pushing boundaries to help our global teams work more effectively. This is hands-on innovation work—we don't just theorize about better processes, we build them. By joining our team, you will be part of exciting work in turning bold ideas into operational reality.

For US-based roles only: the anticipated hiring base salary range for this position is $140,200.00 - $203,350.00, 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. Click here to view our Notice to New York City Applicants.
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.