Machine Learning Engineer
Core
Develop and implement validation frameworks for real-time audio and video processing systems, analyzing and optimizing ML models to improve media quality.
Role type
Machine Learning Engineer (Audio/Video Signal Processing)
Builds
Validation frameworks, optimized ML models, and evaluation pipelines for audio/video products
Domain
Media technology, audio/video signal processing, machine learning
Deliverable
production ML models
Required skills
C++, Python, audio/video signal processing, dataset creation and management, model training and optimization, performance analysis
Preferred skills
TensorFlow, PyTorch, video processing, AI/ML technologies
Technologies
C++, Python, TensorFlow, PyTorch
Responsibilities
Evaluate machine learning models for real-time audio/video processing; Train and optimize ML models; Conduct performance analysis and optimization of audio/video processing systems; Benchmark models against existing solutions; Document model evaluations and experimental results; Contribute to the development and maintenance of evaluation pipelines and dashboards
Seniority
Mid-level, hands-on IC