JPMorgan Chase - New York, NY
posted about 2 months ago
Full-time - Mid Level
New York, NY
Credit Intermediation and Related Activities
About the position
As a Senior Machine Learning Engineer in the Digital Intelligence team at JPMorgan Chase, you will leverage large-scale computation and substantial datasets to enhance critical customer products. Your role will involve solving complex relevance and ranking problems, developing scalable features, and managing ML Ops to build innovative systems that benefit customers across various business lines. The position emphasizes the importance of customer feedback and agile methodologies to improve user experiences.
Responsibilities
- Oversee the analysis of complex datasets to inform decisions on real-world applications.
- Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
- Supervise data analysis activities and ensure effective visualizations are provided.
- Ensure the writing and deployment of software code in production systems is efficient and meets standards.
- Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
- Communicate complex issues clearly and credibly to senior management and stakeholders.
- Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Requirements
- Master's degree in Computer Science, Machine Learning, or related field with 3 years of relevant experience, or Ph.D. in Computer Science, Machine Learning, or a related field with 1 year of experience.
- Expertise in one or more of the following areas: machine learning, graph learning, recommendation systems, network analysis, natural language processing, reinforcement learning, MLOps.
- Solid understanding of core computer science concepts, including common data structures and algorithms.
Nice-to-haves
- Experienced in conducting design and code reviews.
- Proficient in cloud environments such as AWS, GCP, or Azure.
- Experienced in managing and deriving insights from large, both unstructured and structured datasets.
Benefits
- Competitive total rewards package including base salary.
