Machine Learning Research Scientist - Speech & Language AI

Redenlab; Melbourne; Vor Ort; AUD 120.000 - 180.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

ML research

Python

PyTorch

Hugging Face

Transformers

Git

Linux

Experiment design

Data handling

Ausbildung

Master's degree (ML / related)

PhD (related field)

Tools

GPU environments

Jobbeschreibung

Machine Learning Research Scientist - Speech & Language AI

This 12-month contract role offers a unique opportunity to work at the forefront of machine learning research, clinical innovation, and speech and language technologies. You will play a key role in developing next-generation AI solutions that advance speech, language, and digital health applications, contributing to innovative technologies that have the potential to drive meaningful improvements in patient care and health outcomes.

Key responsibilities

Research, develop, train and evaluate machine learning and deep learning models for speech, audio and language analysis, including AI-derived digital biomarkers

Adapt and fine-tune state-of-the-art models such as wav2vec 2.0, HuBERT, WavLM, Whisper, transformers, LLMs and multimodal architectures for specialised datasets

Design rigorous experiments incorporating appropriate baselines, cross-validation, external validation and statistical model comparison

Conduct systematic benchmarking of new AI technologies against established methods and research standards

Monitor emerging developments in machine learning and assess their relevance to current and future research programs

Evaluate model robustness and generalisability across speakers, languages, recording environments and clinical populations

Perform error analysis and identify potential issues related to bias, fairness, overfitting and data leakage

Contribute to peer-reviewed publications, conference presentations and research grant applications

Collaborate with academic, clinical and industry partners to advance research outcomes

Maintain clear documentation of methodologies, experiments, model performance and research findings

About you

Master's degree or PhD (or near completion) in Machine Learning, Artificial Intelligence, Computer Science, Speech/Signal Processing, Natural Language Processing, Computational Linguistics, Biomedical Engineering or a related discipline

Strong experience developing, training and evaluating machine learning and deep learning models

Advanced Python programming skills

Hands-on experience with PyTorch and modern AI/ML frameworks

Experience working with Hugging Face, pretrained models and foundation models

Strong understanding of experimental design, validation methodologies and reproducible research practices

Knowledge of model evaluation, overfitting, data leakage, generalisability and statistical comparison techniques

Experience working with complex real-world datasets

Familiarity with Git and Linux/GPU-based research environments

Excellent analytical, problem-solving and scientific communication skills

About us

Redenlab is an agile biotechnology company dedicated to advancing the development of new treatments and enabling earlier clinical insights in healthcare. We achieve this by transforming the measurement of brain health through our innovative digital speech analytics platform. Our mission is to improve health outcomes by combining breakthrough clinical science with advanced technologies, delivering solutions that make a meaningful difference to patients, researchers and healthcare. Strengthened by more than 20 years of experience supporting clinical research, we are committed to simplifying complexity and unlocking new possibilities in healthcare.