Senior Machine Learning Engineer (Python/ML)

Location: Hybrid role based at the Sydney office; the broader team is based in Sydney, Melbourne, and New York.

Company

hirify.global is an early-stage B2B SaaS company building a business growth decision engine that helps marketing, media, agency, analytics, and finance teams analyse data and optimise sustainable growth.

What you will do

• Develop and refine time series models for forecasting and outcome comparison.
• Build optimisation frameworks for complex, constraint-based customer decision-making problems.
• Design scalable backend systems, APIs, and database layers with FastAPI and SQLAlchemy.
• Architect event-driven systems using Cloud Run, Pub/Sub, and BigQuery.
• Orchestrate parallel, multi-customer workloads using infrastructure as code and automated job execution.
• Build reliable, observable, and automated ML and data workflows from infrastructure through customer-facing products.

Requirements

• Senior-level experience building production systems and taking proof-of-concepts into production.
• Strong Python skills and practical knowledge of the machine learning lifecycle.
• Experience with scikit-learn, pandas, PyTorch, and TensorFlow.
• Experience building APIs, CI/CD pipelines, tests, deployment automation, and maintainable production code.
• Familiarity with GCP, Pulumi or Terraform, Docker, and Kubernetes.
• Product-minded, proactive approach to solving root causes and improving system reliability.

Culture & Benefits

• Direct impact on customer experience and marketing decision-making.
• Autonomy to lead initiatives from design through implementation.
• Opportunity to shape ML engineering practices across the organisation.
• Employee equity through an ESOP.
• Paid parental leave of 12 weeks for the primary caregiver and 6 weeks for the secondary caregiver after two years in business.
• 20 days of annual leave initially, increasing to up to 30 days; eligible employees may work from anywhere in the world for six weeks per year.