Audio ML Engineer (Research)
Tasks
- Apply model optimization compression and acceleration
- Build personalization and adaptation strategies
- Define data collection labeling and QA
- Design embedded and cloud deployment pipelines
- Develop learning based perception models
- Partner for cross functional handoff and integration guidelines
- Use AI tooling to accelerate development and validation
Perks/Benefits
- Disability coverage
- Employee discounts
- Health, dental, and vision plans
- Life insurance
- Paid sick leave
- Paid vacation and holidays
- Retirement savings plan with employer match
- Training opportunities
- Tuition reimbursement
- Wellness benefits
Skills/Tech-stack
Audio signal processing | Bias checking | Cloud deployment | DSP | Data Augmentation | Dataset Pipelines | Embedded deployment | Evaluation methodology | Experiment tracking | Hardware-aware training | Knowledge Distillation | MLOps | Model Compression | ONNX | ONNX Runtime | Preference Modeling | Pruning | PyTorch | Python | Quantization | Recommendation Systems | Scene classification | Series modeling | Signal Processing | Spatial audio | TFLite | TensorFlow | Time Series | Time Series Modeling
Education
Regions
Countries
States
Cities
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