Senior Machine Learning Engineer

EML is a leading Workers Compensation and Personal Injury Claims Management business. Our goal is to help people get their lives back through ongoing support during their return-to-work journey. We continue to experience ongoing growth and now have over 4,000 dedicated employees. We foster a learning culture that allows for us to continually invest in our employees ensuring a long-term career here at EML.

THE OPPORTUNITY

As we expand, our Technology team is growing rapidly, driving innovation in AI for Workers Compensation. We're transforming the industry with cutting-edge solutions that enhance claims management, improve outcomes, and streamline processes.

At EML, we foster a learning culture, investing in our people to build long-term careers while shaping the future of technology in our sector.

The Senior Machine Learning Engineer role at EML focuses on developing, designing, and optimizing cutting-edge models across Computer Vision (CV), Speech, Natural Language Processing (NLP), and multi-modal tasks.

As part of this role, you will design and evaluate AI models for audio-related tasks like automatic speech recognition, text-to-speech, speech diarization, audio embeddings, and biometrics voiceprints.

Your work will include optimizing models for production, ensuring accuracy through rigorous testing, and collaborating with data engineers and MLOps engineers to build and maintain data pipelines.

This will be a full time, permanent based in the Sydney office, with the flexibility to work from home up to 3 days per week.
 

YOUR RESPONSIBILITIES

• Design, develop, and evaluate AI models for audio tasks such as speech recognition, text-to-speech, and audio embeddings.
• Assist MLEs with training models for Computer Vision and NLP tasks.
• Research and implement cutting-edge algorithms and techniques from the latest publications.
• Optimize model performance for production deployment and ensure accuracy through testing and validation.
• Collaborate with data engineers and MLOps engineers to build and maintain data pipelines and contribute to machine learning infrastructure.

ABOUT YOU

• 5+ years of hands on or research experience specialising in Deep Learning, with a focus on audio and speech processing.
• Strong understanding of Audio, CV, and NLP concepts, including self-supervised pretraining, non-autoregressive TTS, Audio Spectrum Transformers, object detection, segmentation, and classification.
• Experience with deep learning frameworks, including TensorFlow, PyTorch, Cuda/ROCm libraries, and PTX.
• PhD in Computer Science and Artificial Intelligence, with published research in deep learning is a plus.

WHAT WE OFFER

We stand together as equals. EML is an equal opportunity employer so by coming to work for us, you will be part of a culture that celebrates diversity and inclusion. We are committed to maintaining a workplace where everyone feels valued and where we show respect, integrity and honesty.

EML provides career opportunities and great employee benefits, including:
•    A vibrant, collaborative innovative team culture
•    Flexibility with opportunity to WFH when you are fully trained in your role.
•    A corporate wellbeing program with discounted health insurance and gym membership
•    Access to discounts at over 350 retailers through our Rewards Hub program
•    Entitlement to an annual tenure and performance-based recognition reward
•    Comprehensive learning and development support
•    Companywide events to celebrate success.
•    Quarterly Reward and Recognition Awards
•    Up to 16 weeks paid parental leave, plus super

We value our people and are committed to supporting our employees by investing in their professional development and providing generous employee benefits. If this position is of interest to you, please apply now.