J.P. Morgan is looking to leverage large-scale computation, substantial datasets, and machine learning to enhance their most crucial customer products across a broad spectrum.
Requirements
- Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
- Solid understanding of core CS concepts, including common data structures and algorithms.
- 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.
- Master's degree in computer Science, Machine Learning or related field with 5-7 years of relevant experience
- Ph.D in computer Science, Machine Learning, or a related field with 3 year of experience
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.
Other
- Master's degree in computer Science, Machine Learning or related field with 5-7 years of relevant experience
- Ph.D in computer Science, Machine Learning, or a related field with 3 year of experience
- Competitive total rewards package including base salary determined based on the role, experience, skill set and location
- Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more
- Equal opportunity employer and place a high value on diversity and inclusion at our company
