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. 

Responsibilities

As a forward-thinking software engineer and leader, you will work on a variety of projects, fundamentally shifting how we do business by leveraging both traditional and cutting-edge AI technologies.

•    Dedicate half your time to hands-on development, creating simple, clean, and testable code in Python and TypeScript to build new product features and refactor existing systems.
•    Act as a key technical authority, spending ~25% of your time making critical architectural and design decisions for services, machine learning solutions, and front-ends to ensure they are scalable and robust.
•    Utilize the remaining ~25% of your time on management and supervisory functions, including providing technical leadership, mentoring engineers, and overseeing project execution with a high degree of autonomy.
•    Collaborate within a fast-moving team to solve large, complicated problems for some of the largest organizations in the world.
•    Embrace a full-stack mentality, with the willingness to jump in and contribute to any problem thrown at you.


Skills and Competencies

•    Required: Strong skills with relational databases (e.g., Postgres, MySQL) and document-based (NoSQL) data stores (e.g., MongoDB).
•    Required: Proficiency in Python and TypeScript.
•    Preferred: Experience with functionally flavored languages (e.g., Clojure, Haskell).
•    Preferred: Experience with popular front-end frameworks (e.g., Angular, React, Vue).
•    Preferred: Hands-on experience with training and deploying machine learning models.
•    Desired: Any measure of DevOps experience (e.g., Docker, Kubernetes).
•    Demonstrated ability to absorb new information quickly and a passion for continuous learning and improvement.
•    Strong time management and organizational skills with the ability to drive projects to completion.


Education

Open. We're more interested in your skills and motivation. Send us your resume and convince us you're the right fit.


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 teams work more effectively.

This is hands-on innovation work - we don't just theorize about better processes, we build them. You'll tackle challenging problems alongside a collaborative team that values creative problem-solving and isn't afraid to experiment. We move fast, iterate quickly, and measure our success by the tangible improvements we create for our colleagues and the business.

If you're energized by the prospect of reimagining how work gets done and want to be part of a team that turns bold ideas into operational reality, this is where you can make a significant impact.

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.