Harman
Audio ML Engineer (Research)
Share this job
Job Description
Location: Northridge - California, USA Job Family: Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4 Job ID: R-51858-2026
### Description & Requirements
Introduction: A Career at HARMAN Corporate
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Corporate, you are integral to our company’s award-winning success.
- Enrich your managerial and organizational talents – from finance, quality, and supply chain to human resources, IT, sales, and strategy
- Augment your comprehensive skillset with expert training across decision-making, change management, leadership, and business development
- Obtain 360-degree support throughout your career life cycle, from early-stage to seasoned leader
About the Role
The Audio ML Engineer (Research) develops learning-based perception and personalization models that enhance Intelligent Audio experiences across devices and contexts. You will build models that understand audio scenes, predict perceptual outcomes, personalize tuning, and drive adaptive behavior—designed from the start for embedded and cloud deployment paths. In Year 1, your work is expected to feed directly into productization by delivering models that are measurable, reproducible, and deployable (or easily productizable) with clear compute/memory tradeoffs. Success means your models improve user experience in controlled testing and remain robust in the messiness of real-world use cases.
What You Will Do
- Learning-Based Perception Models: Develop ML models for perception-related tasks (e.g., quality prediction, artifact detection, scene/context classification, personalization embeddings, preference modeling).
- Embedded + Cloud Deployment Focus: Design solutions that can run on-device (quantized, efficient inference) and/or scale in cloud pipelines...
Keep looking
Similar Remote AI Jobs
Allocate
Machine Learning Engineer
Bristol Myers Squibb
Director, US Commercial AI & Advanced Analytics
Fractal Analytics
MLOps Lead
Booz Allen Hamilton