Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Company: Mutinex Job Category: Machine Learning Roles & Responsibilities: ### The Role We're hiring a Senior Machine Learning Engineer to take our models from research into production and turn them into product features that help customers plan their marketing investment. You'll work closely with data scientists, product managers and software engineers. Our teams are cross\-functional, bringing together data scientists, product managers and engineers. Data scientists design the models; you'll make them reliable, fast and available to every customer at scale. * Shape the customer experience: Understand customer problems and lead the search for the best way to solve them. Partner with product managers and designers to turn those solutions into features customers praise. * Bring models to production: Turn data science models into reliable production services. Integrate forecasting models into the planning workflows that customers use to make decisions. * Scale optimisation: Build and scale the optimisation systems that turn forecasts into recommendations under real business constraints. * Build backend services: Design and maintain the APIs and data layers that serve model results to our product (FastAPI, SQLAlchemy). Write clean, tested code and ship it through CI/CD. * Automate the model lifecycle: Build event\-driven pipelines (Cloud Run, Pub/Sub, Clickhouse) that onboard customers, refresh models with new data and release results, for many customers in parallel. Use infrastructure as code to keep them repeatable, observable and reliable. * Protect model quality: Build automated checks that validate model results before they reach customers, and catch regressions early. * Apply AI to our workflows: Build LLM\-based agents and tools that automate model analysis and help our teams move faster. Work Location: Australia Availability: Full time

We use a standard modelling approach across industries. We then tailor each model to the customer's context and validate it through rigorous quality checks. The result is a simple, reliable experience and clear recommendations that customers can act on. * Impact at scale: Solve hard ML engineering problems at scale, and see your work shape how customers invest their marketing budget. * Growth and team: Shape ML engineering practices across the company, with experienced data scientists and engineers who care about impact. * Competitive salary and equity: A competitive salary, plus equity for every employee through our ESOP. * Flexible work: Hybrid, with three days a week in our Sydney office. Up to 6 weeks a year working from anywhere, with at least 6 hours of overlap with Sydney working hours. * Leave: 20 days annual leave, rising to 30 days with tenure. 12 weeks paid parental leave for primary caregivers and 6 weeks for secondary caregivers, after 1 year with Mutinex. Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed