Audio ML Engineer (Research)

Audio ML Engineer (Research) develops learning-based perception and personalization models that enhance Intelligent Audio experiences across devices and contexts. Builds models that understand audio scenes, predict perceptual outcomes, personalize tuning, and drive adaptive behavior.

Requirements

• MS or PhD in CS/EE/Statistics/Applied ML (or BS with strong equivalent experience)
• 5+ years applied ML engineering experience; 2+ years specifically in audio/speech or time-series ML strongly preferred
• Strong proficiency in Python, PyTorch/TensorFlow, dataset pipelines, evaluation methodology, and experiment tracking
• Experience deploying models to embedded (TFLite / ONNX Runtime / custom inference) and/or cloud (service or batch pipelines, MLOps practices)
• Signal + Perception Understanding: Working knowledge of DSP/audio fundamentals and how ML interacts with perceptual outcomes
• AI Tools: Demonstrated experience using AI-assisted tools to speed up coding, testing, debugging, and documentation

Benefits

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
• Access to employee discounts on world-class products
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition reimbursement
• ‘Be Brilliant’ employee recognition and rewards program