Machine Learning Engineer
@ Sitemate

Hybrid
A$150,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @sitemate.com
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Job Details

Overview

Sitemate is looking for a Machine Learning Engineer to architect, build, train, and deploy models powering AI products. In this role, you will work closely with product and design teams to experiment, ship quickly, and integrate new AI capabilities.

Employment Details

This is a full-time position based in Australia with compensation between AUD 115,000 and AUD 200,000. Remuneration is performance-based and adjusted using a Cost of Living Multiplier.

What Sitemate Offers

  • Flexible hybrid work arrangements and remote options
  • Direct mentorship from engineering leadership
  • Competitive remuneration increases based on performance
  • Comprehensive benefits including paid leave and home office setup
  • Equity options and ownership opportunities

Team and Culture

Sitemate values diversity with a global team and transparent communication through monthly Allhands meetings and minimal group meetings. The environment encourages autonomy and collaboration across multiple departments.

Role Responsibilities

  • Own full AI generation pipelines including data prep, model selection, and fine-tuning
  • Design and ship agentic flows and orchestrate use-case flows
  • Build and maintain scalable data pipelines for training datasets
  • Collaborate with product managers, designers, and engineers to integrate AI into products
  • Evaluate, deploy, and monitor third-party AI services and APIs
  • Conduct experiments to optimize model performance and document findings

Challenges

  • Navigating emerging AI technologies and evolving frameworks
  • Building foundational AI architectures in a new domain
  • Balancing innovation with production reliability
  • Managing cost and latency when scaling AI features

Candidate Profile

This role is ideal for engineers who are passionate about emerging AI technologies, enjoy end-to-end project ownership, and can work independently in ambiguous environments. Applicants should have at least 2 years of production ML/AI experience and be proficient in Python, with a working knowledge of TypeScript and AWS cloud services.

Technical Skills & Tools

  • Python and relevant ML libraries
  • TypeScript/Node.js for integration
  • AWS Cloud and AI/ML platforms like OpenAI and AWS Bedrock
  • Git and modern CI/CD tools
  • Experience with LLMs, fine-tuning, prompt engineering, and monitoring tools

Key skills/competency

  • Machine Learning
  • AI
  • Python
  • TypeScript
  • AWS
  • LLMs
  • Data Pipelines
  • Deployment
  • Fine-tuning
  • Model Optimization
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How to Get Hired at Sitemate

🎯 Tips for Getting Hired

  • Research Sitemate's culture: Review their mission, values, and team dynamics.
  • Customize your resume: Highlight production ML and AWS experience.
  • Demonstrate hands-on projects: Showcase relevant AI deployments.
  • Prepare technical examples: Emphasize model fine-tuning and pipeline work.
  • Practice interview scenarios: Get ready for behavioral and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review ML fundamentals and algorithms.
Practice Python ML libraries and AWS services.
Experiment with LLM fine-tuning techniques.
Test data pipeline and deployment tools.

Behavioral Questions

Describe past end-to-end project ownership.
Explain cross-team collaboration experiences.
Share examples of problem-solving in ambiguity.
Discuss time management in flexible work settings.

Frequently Asked Questions