Speech & Language AI Research Scientist (12-Month Contract)

Redenlab Inc.; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Redenlab Inc. in Melbourne invites a Machine Learning Research Scientist to advance speech and language AI for health applications. This 12-month contract role focuses on developing next-generation ML solutions and evaluating robust models across diverse datasets.

You will collaborate with clinical and academic partners, publish findings, and contribute to grant applications while maintaining thorough documentation of methodologies and results.

Qualifications

• Master's degree or PhD (or near completion) in ML/AI, CS, or related discipline.
• Strong experience developing, training and evaluating ML/DL models.
• Advanced Python programming skills.
• Hands-on experience with PyTorch and modern AI/ML frameworks.
• Experience working with Hugging Face, pretrained/foundation models.
• Familiar with Git and Linux/GPU-based research environments.

Responsibilities

• Research, train and evaluate ML/DL models for speech, audio and language analysis.
• Adapt and fine-tune models (e.g., wav2vec 2.0, HuBERT, Whisper) for datasets.
• Design rigorous experiments with baselines, cross-validation and validation.
• Benchmark new AI technologies against established methods.
• Collaborate with academic, clinical and industry partners.
• Publish papers and contribute to grants; document methodologies and results.
• Maintain clear documentation of experiments and model performance.

Skills

ML research

Python

PyTorch

Hugging Face

Transformers

Git

Linux

Experiment design

Data handling

Education

Master's degree (ML / related)

PhD (related field)

Tools

GPU environments

Job description

Redenlab Inc. in Melbourne invites a Machine Learning Research Scientist to advance speech and language AI for health applications. This 12-month contract role focuses on developing next-generation ML solutions and evaluating robust models across diverse datasets.

You will collaborate with clinical and academic partners, publish findings, and contribute to grant applications while maintaining thorough documentation of methodologies and results.