Sr. Machine Learning Engineer

One of the oldest financial institutions offering innovative financial solutions to millions of consumers, small businesses and prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
$164,350 - $260,000
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Finance

Description For Sr. Machine Learning Engineer

The Digital Intelligence team at JPMorgan Chase is focused on leveraging large-scale computation, substantial datasets, and machine learning to enhance crucial customer products across a broad spectrum. As a Sr. Machine Learning Engineer, you will be responsible for solving complex relevance and ranking problems, developing scalable features, and managing ML Ops for building innovative systems that benefit customers across all lines of business.

The role combines technical expertise in machine learning with practical application in a financial services context. You'll work with large-scale datasets and complex systems, applying advanced ML techniques to improve customer experiences and product performance. The position requires both technical depth in ML/AI and the ability to collaborate across teams to deliver impactful solutions.

The team values customer feedback and employs an agile methodology to continuously improve user experiences. You'll be part of a dynamic environment that manages a wide array of impactful products and services, reaching countless customers and households. The role offers the opportunity to work on meaningful problems at scale while contributing to the digital transformation of one of the world's largest financial institutions.

Key aspects of the role include:

  • Leading ML model development and implementation
  • Working with large-scale data and computation
  • Solving complex relevance and ranking problems
  • Managing MLOps and production systems
  • Collaborating with cross-functional teams
  • Driving innovation in customer-facing products

The position offers competitive compensation, comprehensive benefits, and the opportunity to work on cutting-edge ML applications in finance. You'll be part of a team that values technical excellence, innovation, and customer impact while working in an environment that supports professional growth and development.

Last updated 3 hours ago

Responsibilities For Sr. Machine Learning Engineer

  • 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

Requirements For Sr. Machine Learning Engineer

Python
  • 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 related field with 1 year of experience
  • Expertise in machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps
  • Solid understanding of core CS concepts, including common data structures and algorithms
  • Experience in conducting design and code reviews (preferred)
  • Proficiency in cloud environments such as AWS, GCP, or Azure (preferred)
  • Experience in managing and deriving insights from large, both unstructured and structured datasets (preferred)

Benefits For Sr. Machine Learning Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
  • Competitive total rewards package
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching

Interested in this job?

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