As the Technical Lead, Machine Learning Engineering,with strong experience in AWS Cloud technologies, You will drive the technical capabilities of the ML function. This role offers the opportunity to work on cutting-edge AI solutions, collaborating with a diverse team to deliver impactful outcomes across our platforms.
- Partner with Product Managers and Data Scientists to deeply understand user problems, market opportunities, and business KPIs.
- Translate commercial objectives into measurable ML goals and system requirements
- Evolve the technical architecture and standards for ML systems, including model training, feature pipelines, serving infrastructure, observability, and retraining workflows
- Act as the senior technical reference point for MLEs and Data Scientists on topics like distributed training, serving architectures, CI/CD, or model monitoring
- Translate technical trade-offs into language accessible to business stakeholders - articulating cost, risk, and expected ROI of ML investments
- Ensure engineering choices (e.g., model type, architecture, infrastructure) are anchored in measurable product and commercial outcomes, not purely technical novelty
- Ensure all models adhere to standards for quality, privacy, and fairness — including reproducibility, explainability, and risk mitigation
What are we looking for?
- Takes ownership of outcomes; demonstrates integrity, transparency, and follow-through
- Proven ability to align ML system design with business strategy and articulate how technical choices drive commercial value
- Success leading technical initiatives from design through production rollout in partnership with cross-functional stakeholders
- Experience translating product goals (e.g. monetisation, retention) into measurable ML objectives and architectures
- Track record in designing, building, deploying, and maintaining production ML systems at scale
- Expertise in model training, feature engineering, online/offline inference, streaming pipelines, and observability
- Proficiency in Python and modern ML libraries (PyTorch, TensorFlow, scikit-learn), with solid understanding of software engineering best practices
- Technical agility to lead decision-making across disciplines, and holds others to account
A few other things we want to let you know about...
- carsales is an equal opportunity employer and we pride ourselves on fostering a diverse and inclusive workplace. We encourage everyone of all ages, genders and backgrounds to apply. If you’re a candidate with a disability or you’ll need some adjustments to be at your best, let us know how we can provide you with additional support.
- We know how important keeping that balance between work/life is and have a range of flexible working options on offer, including part time work. We are open to this conversation during our recruitment process - if you want to know more just ask.
- We are a proud Circle Back Initiative Employer which means we are committed to responding to every job applicant.
- Successful candidates joining the carsales family are required to undergo a National Police Record check and must have full-time Australian working rights on an ongoing basis.
So come and join our team - because every role is a big role in our plans to go big.
