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Machine Learning Engineer

Full Time · In Office · USA

Posted Aug 29, 2026

About The Company

Moody's Corporation is a globally recognized leader in credit ratings, research, and risk analysis. With a rich history of providing insightful and independent assessments, Moody's empowers organizations, investors, and governments to make informed decisions that foster economic growth and stability. The company is committed to innovation, leveraging advanced technologies such as artificial intelligence and machine learning to enhance its analytical capabilities. Moody's fosters a diverse and inclusive environment that encourages collaboration, curiosity, and integrity, ensuring that its team members can thrive and contribute meaningfully to its mission of decoding risk to unlock opportunity worldwide.

About The Role

We are seeking a highly skilled Software Engineer to join Moody's dynamic engineering team. In this role, you will be instrumental in designing, developing, and maintaining scalable back-end systems that support advanced insurance analytics products. Your work will directly impact the company's ability to deliver high-performance solutions that help clients navigate complex risk landscapes. The ideal candidate will have a strong background in back-end development, proficiency in programming languages such as Python and SQL, and a solid understanding of software architecture principles. You will collaborate closely with data scientists, machine learning engineers, and product teams to translate business needs into robust technical solutions. This position offers an exciting opportunity to work at the forefront of technological innovation in the risk assessment space, contributing to products that make a meaningful difference in the financial industry.

Qualifications

  • Bachelor's degree in a STEM field with at least 7 years of relevant industry experience, or a Master's degree with 4+ years, or a PhD with 2+ years of experience.
  • Expertise in Python and SQL, along with familiarity with scripting languages such as Ruby, and a demonstrated understanding of scalable software architecture.
  • Hands-on experience with artificial intelligence concepts, including deploying AI tools to optimize workflows and improve operational efficiency.
  • Proven ability to develop high-quality, scalable, and maintainable back-end solutions aligned with business and technical requirements.
  • Strong problem-solving skills, with the ability to translate abstract requirements into clear technical objectives independently.
  • Adaptability to learn new programming languages, tools, and technologies rapidly and apply them effectively.
  • Excellent communication skills, capable of articulating complex technical concepts to both technical and non-technical stakeholders.
  • Knowledge of Geographic Information Systems (GIS) is preferred but not mandatory.

Responsibilities

  • Design and deliver scalable back-end software solutions that underpin Moody's insurance analytics products and services.
  • Build and maintain robust, high-performance back-end systems that support complex analytics applications.
  • Develop, extend, and optimize back-end services and web applications with a focus on architecture, scalability, and system reliability.
  • Participate in technical design discussions, providing expert insights into the back-end technology stack.
  • Conduct code reviews and perform technical analysis to ensure adherence to quality standards and best practices.
  • Create and maintain comprehensive unit and end-to-end tests to ensure system performance, reliability, and security.
  • Collaborate closely with product managers, data scientists, and machine learning teams to translate business requirements into effective technical solutions.
  • Evaluate emerging tools and technologies, offering recommendations to improve the back-end infrastructure continually.
  • Own critical components of the back-end architecture, demonstrating strong technical judgment and collaborative skills to deliver impactful solutions.

Benefits

Moody's offers a competitive benefits package designed to support the health, well-being, and professional development of its employees. This includes comprehensive medical, dental, and vision insurance, generous paid time off, and parental leave policies. Employees are also eligible to participate in the company's 401(k) retirement plan with both employee and employer contributions. Additional benefits include life, disability, and accident insurance, tuition reimbursement programs, and access to employee stock purchase plans at discounted rates. Moody's promotes a healthy work-life balance and provides resources to support continuous learning and career growth, fostering an inclusive environment where innovation and diversity are celebrated.

Equal Opportunity

Moody's Corporation is an equal opportunity employer. We are committed to fostering an inclusive environment where all employees and applicants are treated with respect and dignity, regardless of race, color, religion, gender, age, national origin, ancestry, citizenship, marital status, sexual orientation, gender identity, gender expression, disability, military or veteran status, or any other characteristic protected by law. We provide reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, in accordance with applicable laws. We encourage candidates from diverse backgrounds to apply and join our mission of transforming risk into opportunity.

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Machine Learning Engineer

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