Software Engineer

Aditi Consulting is seeking a Software Engineer for a comprehensive video rating study focused on calling and media sharing systems. The role involves developing Python automation, processing and analyzing video quality data, working with APIs and FFmpeg, and preparing rating data for machine learning applications.

Responsibilities:

• Write Python scripts and implement large-scale automation workflows to generate videos across various quality levels
• Interact with an internal "lab API" to build baseline video sets using real devices on the stack
• Build automated workflows to introduce specific video quality artifacts/differences (e.g., exposure adjustments) using tools like FFmpeg
• Perform manual spot checks on generated video samples to maintain data integrity and test quality
• Ingest, review, and analyze video ratings and raw media returned from external rating vendors to generate reporting on technical metrics
• Develop Python scripts to transform and format rating data for downstream machine learning application ingestion

Requirements:

• Ability to write Python scripts and run large scale automation to generate videos at different qualities. This includes interacting with an internal "lab API" to create a baseline set of videos using real devices on WA stack as well, as automated workflows to add additional video quality differences to the generated videos. For instance, adjust the exposure. The latter might require familiarity with tools like FFmpeg
• Experience interfacing with REST/internal APIs and working with media processing toolkits like FFmpeg to programmatically manipulate video properties (e.g., exposure, quality parameters)
• Analytical capability to interpret external vendor rating data, track quality metrics, and compile performance reports
• Attention to detail for conducting manual quality assurance and spot-checking generated media
• Bachelor's degree in computer science, software engineering or relevant field required
• Background in video quality assessment metrics (VMAF, PSNR, SSIM) or audio/video streaming protocols
• Experience working with real-device testing frameworks or mobile stack automation ( stack specifically)
• Knowledge of data pipeline integrations for Machine Learning feature store inputs
• Familiarity with AI coding tools to accelerate their work