Senior Machine Learning Engineer

MutinexSydneyHybrid16 Sept 2026

Mutinex, an early-stage B2B SaaS startup, is hiring a Senior Machine Learning Engineer in Sydney to take models from research into production and turn them into product features. The role involves building reliable, scalable ML systems, backend services, and automation pipelines, requiring strong Python, ML lifecycle, and software engineering skills.

What you'll do

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.

What you need

Must-have

PythonPyTorchTensorFlowFastAPISQLAlchemyCI/CDCloud RunPub/Sub

Nice-to-have

JAXNumPyro

Soft skills

CommunicationOpen-mindednessFeedbackProduct mindsetRoot-cause thinkingOwnershipMentoring

Machine LearningML EngineerSeniorB2B SaaSSoftware DevelopmentSydneyHybridPythonGCPCausal Inference

/What you'll do

/What you need

Must-have

Nice-to-have

Soft skills

What you'll do

What you need