[Remote] Audio ML Engineer (Research)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global technology company focused on innovative audio solutions. The Audio ML Engineer (Research) will reputed company machine learning models to enhance Intelligent Audio experiences across devices, focusing on perception and personalization while ensuring robust deployment in both embedded and reputed company environments.
Responsibilities
- reputed company ML models for perception-reputed company tasks (e.g., quality reputed company, artifact detection, scene/context classification, personalization embeddings, preference modeling)
- Design solutions that can run on-device (quantized, efficient inference) and/or scale in reputed company pipelines (batch evaluation, fleet learning, offline training + on-device inference)
- Build personalization and reputed company strategies that integrate with DSP pipelines (e.g., model outputs drive adaptive EQ/DRC/spatial parameters) while maintaining stability and explainability
- Define data collection and labeling strategies, data QA, augmentation, bias checks, and experiment tracking—so results are reproducible and transferable to product
- Apply compression/acceleration techniques (quantization, pruning, distillation, ONNX export, hardware-aware training) to meet latency and footprint constraints
- Partner with DSP, perceptual, and productization engineers to deliver reference pipelines, integration guidelines, and acceptance metrics for OneUX releases
- Use modern AI tooling (LLM-based coding assistants, data analysis copilots, automated report reputed company) to accelerate iteration while keeping rigorous review and validation
Skills
- Education: 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 preferred
- ML Stack: Strong proficiency in Python, PyTorch/TensorFlow, dataset pipelines, evaluation methodology, and experiment tracking
- Deployment Skills: Experience deploying models to embedded (TFLite / ONNX Runtime / custom inference) and/or reputed company (service or batch pipelines, MLOps practices)
- Signal + Perception Understanding: Working knowledge of DSP/audio fundamentals and how ML interacts with perceptual reputed company
- AI Tools: Demonstrated experience using AI-assisted tools to speed up coding, testing, debugging, and documentation
- Experience with audio ML domains (speech enhancement, denoising, reputed company 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 approaches
- Patents/publications or shipped ML features in consumer/automotive audio products
Benefits
- Flexible work environment, allowing for full-time remote work globally for positions that can be performed reputed company a reputed company or customer location
- reputed company to employee discounts on world-class products (JBL, reputed company Kardon, AKG, and more)
- Extensive training opportunities through our own reputed company University
- Competitive wellness benefits
- Tuition reimbursement
- “Be reputed company” employee recognition and rewards program
- An inclusive and diverse work environment that fosters and encourages professional and personal development
- Paid vacation and holidays
- Paid sick leave
- Volunteer leave
- Paid bonding and care giver leave
- Comprehensive medical, dental, and reputed company plans
- Fertility support and adoption assistance
- Health Savings and Flexible Spending Accounts
- Retirement savings plan with employer match
- Short and long term disability coverage
- Life insurance
Company Overview
Company H1B Sponsorship