Assc Dir-Machine Learning Eng

$153,100 - $221,950/Yr

Moody's - New York, NY

Full-time - Mid Level

New York, NY

Administrative and Support Services

About the position

The Associate Director-Machine Learning Engineering at Moody's will play a pivotal role in developing cutting-edge software applications, particularly in the realm of generative AI. This position is designed for individuals who are passionate about leveraging technology to solve complex challenges faced by the organization. The successful candidate will collaborate closely with data scientists, engineers, and domain experts to create innovative solutions that enhance Moody's products and services. The role emphasizes the development of production-grade generative AI solutions, focusing on large language models, and aims to devise novel methods and techniques applicable to Moody's unique challenges. In this role, you will be responsible for defining objectives in collaboration with cross-functional teams, identifying relevant data sources, and assisting in the data collection process. You will also design, implement, and validate machine learning algorithms and models, ensuring their optimization and performance for real-world applications. Staying abreast of the latest advancements in generative AI is crucial, as you will be expected to identify opportunities to apply state-of-the-art research to Moody's operational challenges. Effective communication is key, as you will need to present research findings and insights to both technical and non-technical stakeholders through various formats, including presentations, reports, and publications. Additionally, you will contribute to the broader research community by publishing your findings in top-tier conferences and journals. Mentorship is also a significant aspect of this role, as you will guide and support junior researchers and data scientists in their professional development.

Responsibilities

• Develop production grade generative AI solutions, focusing on large language models.
• Collaborate with cross-functional teams to define objectives and identify data sources.
• Assist in the data collection process and develop production grade software applications.
• Design, implement, and validate machine learning algorithms and models.
• Optimize and productionize machine learning models for real-world applications.
• Stay updated with the latest developments in generative AI and identify opportunities for application.
• Communicate research findings to technical and non-technical stakeholders through presentations and reports.
• Contribute to the research community by publishing in top-tier conferences and journals.
• Mentor and provide guidance to junior researchers and data scientists.

Requirements

• Master's degree in Computer Science, Machine Learning, Computer Engineering, or a relevant technical field, or equivalent practical experience.
• Strong background in generative AI, particularly with 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, capable of presenting complex ideas to diverse audiences.
• Experience in the financial industry or credit risk modeling is a plus.

Nice-to-haves

• Experience in the financial industry or credit risk modeling.

Benefits

• Base salary range of $153,100.00 - $221,950.00 depending on experience and location.
• Eligibility for a completion bonus.
• Insurance coverage.
• Discounted employee stock purchase plan for limited duration employees.