[Remote] Audio ML Engineer (Research)

Note: The job is a remote job and is open to candidates in USA. HARMAN International is a global technology company focused on innovative audio solutions. The Audio ML Engineer (Research) will develop machine learning models to enhance Intelligent Audio experiences across devices, focusing on perception and personalization while ensuring robust deployment in both embedded and cloud environments.ResponsibilitiesDevelop ML models for perception-related tasks (e.g., quality prediction, artifact detection, scene/context classification, personalization embeddings, preference modeling)Design solutions that can run on-device (quantized, efficient inference) and/or scale in cloud pipelines (batch evaluation, fleet learning, offline training + on-device inference)Build personalization and adaptation strategies that integrate with DSP pipelines (e.g., model outputs drive adaptive EQ/DRC/spatial parameters) while maintaining stability and explainabilityDefine data collection and labeling strategies, data QA, augmentation, bias checks, and experiment tracking—so results are reproducible and transferable to productApply compression/acceleration techniques (quantization, pruning, distillation, ONNX export, hardware-aware training) to meet latency and footprint constraintsPartner with DSP, perceptual, and productization engineers to deliver reference pipelines, integration guidelines, and acceptance metrics for OneUX releasesUse modern AI tooling (LLM-based coding assistants, data analysis copilots, automated report generation) to accelerate iteration while keeping rigorous review and validationSkillsEducation: MS or PhD in CS/EE/Statistics/Applied ML (or BS with strong equivalent experience)Experience: 5+ years applied ML engineering experience; 2+ years specifically in audio/speech or time-series ML strongly preferredML Stack: Strong proficiency in Python, PyTorch/TensorFlow, dataset pipelines, evaluation methodology, and experiment trackingDeployment Skills: 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 outcomesAI Tools: Demonstrated experience using AI-assisted tools to speed up coding, testing, debugging, and documentationExperience with audio ML domains (speech enhancement, denoising, source separation, spatial audio ML, perceptual audio metrics, recommendation/personalization)Familiarity with on-device acceleration (NNAPI, Core ML concepts, CUDA/TensorRT-like optimization where applicable)Experience with privacy-preserving learning or on-device personalization approachesPatents/publications or shipped ML features in consumer/automotive audio productsBenefitsFlexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer locationAccess to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)Extensive training opportunities through our own HARMAN UniversityCompetitive wellness benefitsTuition reimbursement“Be Brilliant” employee recognition and rewards programAn inclusive and diverse work environment that fosters and encourages professional and personal developmentPaid vacation and holidaysPaid sick leaveVolunteer leavePaid bonding and care giver leaveComprehensive medical, dental, and vision plansFertility support and adoption assistanceHealth Savings and Flexible Spending AccountsRetirement savings plan with employer matchShort and long term disability coverageLife insuranceCompany OverviewHeadquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. It was founded in 1980, and is headquartered in Stamford, Connecticut, USA, with a workforce of 10001+ employees. Its website is https://www.harman.com/.Company H1B SponsorshipHARMAN International has a track record of offering H1B sponsorships, with 4 in 2025, 6 in 2024, 7 in 2023, 6 in 2022, 7 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.