About the Role

We are seeking an Edge AI Research Scientist to develop next-generation speech and audio AI systems that run efficiently on smartphones, wearables, and other resource-constrained devices.

This role sits at the intersection of machine learning research, systems optimization, and production engineering. You will design compact model architectures, develop advanced compression techniques, and optimize inference pipelines that enable real-time speech AI experiences directly on end-user devices.

You will work across a broad range of voice technologies, including automatic speech recognition (ASR), text-to-speech (TTS), speech translation, speech-to-speech systems, and neural audio codecs.

The ideal candidate combines robust research credentials with hands-on implementation skills and has a deep understanding of efficient deep learning, model optimization, and hardware-aware machine learning.

What You'll Do

Research and Model Development
- Drive research in efficient machine learning and edge AI for speech and audio applications.




- Design compact model architectures capable of operating under strict latency, memory, and power constraints.
- Develop and improve state-of-the-art approaches for:
- Knowledge distillation
- Model pruning
- Quantization
- Low-rank adaptation and compression
- Hardware-aware architectures
- Efficient training and inference techniques
- Contribute to speech-to-speech, speech recognition, speech translation, text-to-speech, and audio generation systems.

Inference Optimization
- Build highly optimized inference pipelines for mobile and embedded hardware.
- Improve performance across CPUs, GPUs, NPUs, and other acceleration hardware.
- Optimize:
- Memory utilization
- Operator execution
- Kernel performance
- Scheduling strategies
- Caching mechanisms
- End-to-end system latency
- Integrate models with production runtimes and deployment frameworks.

Performance Evaluation
- Develop rigorous benchmarking methodologies for edge A

📌 Edge AI Researcher (India)
🏢 Computer Futures
📍 India