Senior Machine Learning Engineer - Inspire & Create

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer – Inspire & Create in Australia.

This role sits at the core of a fast-scaling product group focused on redefining how businesses create and optimize digital advertising through AI-driven creativity and data insights. You will be the first Machine Learning Engineer in the Grow organization, playing a pivotal role in shaping end-to-end ML systems that power ad generation, creative performance, and recommendation loops across the platform. Working at the intersection of generative AI, product innovation, and large-scale systems, you will directly influence the user journey from inspiration to publishing and insights. The environment combines startup-level agility with the scale of a global tech platform, offering high autonomy and strong cross-functional collaboration with product, design, and engineering teams. This is a highly impactful role where your work will define foundational ML capabilities and shape how AI is used to empower creative workflows at scale.

• Build, test, and deploy machine learning-powered features that enhance ad generation and creative product experiences.
• Design and implement scalable ML pipelines in collaboration with platform and infrastructure teams.
• Develop, evaluate, and monitor ML models across the full lifecycle, ensuring performance, reliability, and measurable impact.
• Run experiments and A/B tests to validate hypotheses and continuously improve model effectiveness and user outcomes.
• Collaborate closely with product managers, designers, and engineers to translate user needs into ML-driven solutions.
• Contribute to shared ML infrastructure, standards, and best practices across the broader engineering organization.
• Explore and apply state-of-the-art advancements in generative AI, embedding systems, and large language models at scale.
• Support end-to-end system thinking across the entire user journey, from inspiration to insights and recommendations.

Requirements:

• Proven experience as a Machine Learning Engineer delivering production-grade ML-powered features.
• Strong programming skills in Python and hands-on experience with frameworks such as TensorFlow or PyTorch.
• Solid understanding of the full ML lifecycle, including data processing, model training, evaluation, deployment, and monitoring.
• Experience building and scaling ML systems in production environments with measurable business impact.
• Strong background in generative AI, including LLMs, diffusion models, prompt engineering, RAG, or fine-tuning.
• Familiarity with GenAI platforms such as OpenAI, Hugging Face, or Anthropic, and embedding-based systems.
• Strong product mindset with focus on user experience, experimentation, and outcome-driven development.
• Ability to work independently while collaborating effectively in cross-functional teams.
• Experience building scalable and maintainable ML systems with clear metrics and performance tracking.
• Strong communication skills and ability to contribute to technical discussions and mentoring.
• Commitment to ethical AI, responsible data usage, and scalable model governance.

Benefits:

• Equity packages to share in company success.
• Inclusive parental leave for all parents and carers.
• Annual wellbeing, lifestyle, and setup allowance (Vibe & Thrive).
• Flexible leave policies supporting rest, personal growth, and balance.
• Remote-friendly and flexible working arrangements within Australia.
• Exposure to large-scale AI systems and cutting-edge generative AI technologies.
• Collaborative, innovative, and high-impact product environment.
• Opportunities for professional growth, learning, and technical leadership.