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Machine Learning Engineer 3
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PNC
Remote
Full-Time
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Job Description
Machine Learning Engineer 3
Philadelphia, PA
19 May 2026
22578549
Summary
Philadelphia, PA
Remote
Competitive Salary
1 Years Experience
Master's degree
No Commission
40.00 hours per week / Day Shift / Full-Time
Description Machine Learning Engineer 3 Contribute to a team responsible for developing and supporting optimization and forecasting solutions for software used for inventory management, planning, and campaign delivery; apply mathematical programming, including linear and mixed integer programming and decomposition techniques; use machine learning techniques including tree-based models, linear and logistic regression, and time series models; use scikitlearn to create models; perform statistical modeling using techniques including linear and logistic regression, as well as clustering analysis, to determine the best modeling technique for a given dataset and problem; program using Python; manage code using Git; perform time series forecasting; manage relational databases and analyze data using SQL; perform distributed computing using Spark and TensorFlow; contribute to both software engineering and machine learning sides of projects by implementing, re?ning, and validating machine learning algorithms for products and applications; take action on existing speci?cations of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring; train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production; research, write, and edit documentation and technical requirements, including evaluation plans, con?uence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; create patents, including Application Programming Interfaces (APIs) and other intellectual property; test and evaluate solutions presented by various internal and external partners and vendors; complete case studies, testing, and reporting; design proof of concept solutions and contribute to studies to support future product or application development; collaborate with teams outside of immediate work group; and represent the work team in providing solutions to technical issues associated with assigned projects. Position is eligible for 100% remote work. •