Machine Learning Engineer, Analyst

Join MUFG, one of the world's leading financial groups, as an Entry-Level Machine Learning Engineer in their Data Management Engineering team. This role offers an exciting opportunity to apply machine learning expertise in a practical, fast-paced financial environment.

The position is based in Jersey City, NJ, with a hybrid work arrangement (four days in office, one day remote). As part of a transformative journey to define and drive data strategy, you'll work on building, testing, and deploying machine learning models that solve real-world problems in the financial sector.

The role offers a competitive base salary range of $82,000 - $121,000, along with performance-based bonuses and comprehensive benefits including health coverage, retirement plans, and educational assistance. You'll be part of a global organization with 120,000 colleagues, focused on making a difference for clients, organizations, and communities.

Key responsibilities include designing and validating ML models, collaborating with cross-functional teams, and contributing to MLOps infrastructure. You'll work with both structured and unstructured data, conduct experiments, and stay current with the latest AI/ML trends.

The ideal candidate should have a bachelor's degree in a relevant field, strong Python programming skills, and fundamental knowledge of machine learning concepts. Experience with common ML libraries (Scikit-learn, TensorFlow, PyTorch) is essential. While this is an entry-level position, having internship or project experience in machine learning would be advantageous.

MUFG offers a culture focused on innovation, collaboration, and professional growth. Their Culture Principles emphasize client-centricity, people focus, and innovation. This role provides an excellent opportunity to start your career in machine learning while working on impactful projects in the financial sector.