Test Engineer analyzing large transaction datasets for Gather AI’s MHE Vision platform. Collaborating with systems engineers to improve product quality through testing and validation.
Responsibilities
Manually analyze large transaction datasets (100+ records) to extract ground truth, identify anomalies, mismatches, and edge cases, and validate system outputs against expected behavior
Build and maintain regression test infrastructure, integrating new edge cases sourced from field deployments into the existing test suite
Participate in integrated system tests in the Pittsburgh lab alongside systems engineers, executing test procedures and documenting results
Perform first-level root cause analysis (RCA) on test failures and route issues clearly to the appropriate engineering owners
Develop structured processes for collecting and cataloging field edge cases into repeatable test cases
Contribute to continuous improvement of the test and validation pipeline through clear documentation, reporting, and collaboration with engineering leads
Requirements
1–3 years of experience in test engineering, QA, data analysis, or a related technical role (internship experience counts)
Strong analytical and data review skills — comfortable working through large datasets methodically and accurately
Python proficiency for data processing, test scripting, and automation tasks
BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
Must be based in or willing to work on-site in Pittsburgh (lab access required)
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