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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. 

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. 

The Associate Director-Machine Learning Engineering will be responsible for developing cutting-edge software applications in generative AI and building innovative solutions that address the unique challenges faced by Moody's. You will be working closely with our data scientists, engineers, and domain experts to build the next generation of Moody's products and services.

• Develop production grade generative AI solutions, with a focus on large language models, to develop novel methods and techniques that can be applied to Moody's challenges.
• Collaborate with cross-functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications.
• Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications.
• Stay up to date with the latest developments in the field of generative AI and identify opportunities to apply state-of-the-art research to Moody's problems.
• Communicate research findings and insights to both technical and non-technical stakeholders through presentations, reports, and publications.
• Contribute to the broader research community by publishing research in top-tier conferences and journals.
• Mentor and provide guidance to junior researchers and data scientists.
  

Qualifications:

• Master's degree in Computer Science, Machine Learning, Computer Engineering, relevant technical field, or equivalent practical experience.
• Strong background in generative AI, with a focus on large language models and natural language processing.
• Proficiency in Python, and experience with machine learning frameworks such as PyTorch or TensorFlow.
• Experience building applications with Large Language Models (LLMs).
• Knowledge of state-of-the-art machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning.
• Demonstrated ability to design, implement, and validate machine learning models for real-world applications.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex ideas to both technical and non-technical audiences.
• Experience in the financial industry or credit risk modelling is a plus.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

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.