Machine Learning Engineer 3

Machine Learning Engineer 3 Philadelphia, PA 27 Apr 2026 22527319 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 software and machine learning products in an Agile development environment using Python, SQL, relational databases including MySQL, and machine learning tools including TensorFlow, PyTorch, Scikit-learn, and XGBoost; use AWS services including AWS managed Airflow, and SageMaker; model data using SQL; build data warehouse and data access visualization using Looker, Grafana, and API with Python; perform code optimization, resiliency, and parallel processing; process data using Big Data technologies including Spark and Snowflake; contribute to both software engineering and machine learning sides of projects by implementing, refning, and validating machine learning algorithms for products and applications; take action on existing specifcations 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, confuence 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. •

REQUIREMENTS

Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field, and one (1) year of experience developing software and machine learning products in an Agile development environment using Python, SQL, relational databases (including MySQL, Snowflake, or Teradata), and any of the following machine learning tools: TensorFlow, PyTorch, Scikit-learn, or XGBoost; using AWS services including SageMaker; modeling data using SQL; working with data warehouses and data access visualizations using API with Python; performing code optimization; and processing data using Big Data technologies including Snowflake.

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