Senior Machine Learning Engineer - Inspire & Create
Jobgether
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.
\n- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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