Engineering - Software (Information & Communication Technology)
Eyetelligence is now globally recognized as Optain Health, following a strategic partnership with the New York AI investor, Ascertain. We are pioneering in the MedTech field by applying advanced AI and automation to ophthalmology images, allowing for advanced, non-invasive, disease detection. As a senior machine learning engineer, you will be at the heart of our operations in Melbourne, ensuring projects are executed seamlessly.
Responsibilities:
• AI Model Development: provide day to day leadership of the ML team in the development of advanced AI models aimed at addressing real-world medical challenges.
• Academic Collaboration: Act as a key liaison between the industries and academic institutions, fostering collaborative research initiatives.
• Quality Management System (QMS): compliance of company quality policies as a the QMS to ensure the adherence of products to a high-quality standard.
• Clinical Trial Support Provide support in the planning and execution of AI product clinical trials, contributing to the validation of the technology's effectiveness in real-world medical scenarios.
• Strategic Planning: Develop and implement a comprehensive strategy plan for the AI product line, aligning technological advancements with business objectives and market needs.
• Collaborative Development: Collaborate with fellow developers and designers within the team, fostering an environment of shared learning and delivering technically robust solutions.
• Cultural Influence: Foster a culture of excellence in code quality and design choices, ensuring that the development team consistently produces high-quality, maintainable code.
Key Selection Criteria:
• Tertiary qualification in relevant field (e.g. software engineering) is required, relevant postgrad studies are expected (e.g. master or PhD in relevant AI field).
• Industry experience: Demonstrated 3+ years of industry experience in developing and deploying machine learning and deep learning models.
• Model Knowledge: Demonstrated understanding of a variety of machine learning models, including but not limited to CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks), and Transformer models.
• Deep Learning Libraries: Experience in working with deep learning libraries such as Pytorch or TensorFlow.
• Programming Skills: Demonstrated programming skills in C++ or Python, with a focus on creating efficient and maintainable code for machine learning applications.
• GPU Cluster Experience: Experience working with GPU clusters, demonstrating the ability to optimize and scale machine learning workflows for improved performance and efficiency.
• Linux Scripting: Experience in Linux scripting to develop and implement scripts for automation, integration, and overall system enhancement is highly desirable.
What You’ll Gain
• Competitive compensation package, including a strong base salary, performance-based bonus, and the chance to earn upside.
• Top-tier health, vision, dental, and commuter benefits.
• Unparalleled exposure to new business building at the intersection of artificial intelligence and healthcare.
• The opportunity to help solve difficult problems and collaborate with world-class experts from healthcare provider networks, academia, and industry.
• A chance to work with a highly talented, close-knit team and world-leading mentors who can act as a support network and sounding board throughout your entrepreneurial journey.
Reporting To: Chief Research Officer (CRO)
For those who wish to be at the forefront of MedTech innovation and play a pivotal role in shaping the future of patient care, this role offers an unparalleled opportunity.
Your application will include the following questions:
Which of the following statements best describes your right to work in Australia?
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