Audio & Speech ML Engineer — Acoustic AI & Sound

Reolink; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Medical Benefits Provided

Yearly Bonus

Performance Bonus

Job summary

Reolink is seeking a Machine Learning Engineer specializing in Audio, Speech, Acoustics & Sound to advance multilingual speech and audio understanding on edge devices. You will develop streaming models, integrate audio front-end processing, and optimize for real-time performance on camera hardware.

The role emphasizes training/evaluating DL models for audio, evaluating audio codecs and integrating Whisper/LLM-based components, with a focus on on-device deployment and end-to-end evaluation across

Qualifications

• Master's degree or PhD in a relevant field with focus on speech or audio.
• Hands-on experience training and evaluating deep learning models for audio.
• Strong foundation in audio signal processing: STFT, mel features, pitch, room acoustics.
• Familiar with audio front-end processing: noise suppression, echo cancellation, dereverberation, VAD.
• Able to design and train small streaming models under compute/memory/latency budgets; quantisation, pruning, distillation.

Responsibilities

• Speech Recognition: Develop streaming multilingual speech recognition for far-field audio from a single camera mic.
• Voice Interaction: Develop voice activity detection, end-of-turn detection, turn-taking and barge-in.
• Speech Enhancement: Develop noise suppression, echo cancellation, dereverberation and target-speaker extraction.
• Sound Events and Audio Understanding: Develop sound event detection, audio classification and captioning.
• Model Training and Evaluation: Run audio experiments end to end, data prep to training and ablations.

Skills

Deep learning for audio

Python

PyTorch

Linux

Multi-GPU training

Experiment tracking

Git

Speech recognition

Audio signal processing

Edge/device deployment

Education

Master’s or PhD in CS/EE/Signal Processing/Acoustics/AI

Tools

Whisper

BEATs

CLAP

Qwen3-ASR

Job description

Reolink is seeking a Machine Learning Engineer specializing in Audio, Speech, Acoustics & Sound to advance multilingual speech and audio understanding on edge devices. You will develop streaming models, integrate audio front-end processing, and optimize for real-time performance on camera hardware.

The role emphasizes training/evaluating DL models for audio, evaluating audio codecs and integrating Whisper/LLM-based components, with a focus on on-device deployment and end-to-end evaluation across