Job Description
Company Description
Are you ready to be a big part of something big?
At carsales, we're all about making buying and selling a great experience. For 28 years we’ve been evolving with the new economy to help people choose how they move today and tomorrow.
When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tact, small enough to learn from different departments and small enough to connect authentically with leadership.
With a vision to be the global leader in online vehicle marketplaces. We transform how people buy and sell across the globe. We discover new ideas and make them happen. We continue to grow, and we continue to evolve – and we aren’t afraid to make big bets.
When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different departments and small enough to connect authentically with leadership.
We embrace a hybrid way of working – mixing working from home with the energy and connection that comes from being together in the office. We champion flexibility and have many policies, procedures and leave options to support flexible work.
A career in Machine Learning will see you working on products that are used every single day by our millions of customers all over the world.
Not something you’d expect from one of the country’s biggest tech companies, is it?
What’s on offer:
A place where you can move your career forward, where you’ll be continuously backed to make new ideas happen, and the chance to do work that makes real, significant impact in the world.
We’re proud to be recognised as one of Australia’s Best Workplaces™ by Great Place to Work®, a Family Friendly Workplace, a WORK180 endorsed employer for women.
The support of a highly engaged, high-performing team including a leadership team that’s you’ll actually have face time with.
24 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender affirming care leave.
Job Description
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
Qualifications
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
Additional Information
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.
Are you ready to be a big part of something big?
At carsales, we're all about making buying and selling a great experience. For 28 years we’ve been evolving with the new economy to help people choose how they move today and tomorrow.
When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tact, small enough to learn from different departments and small enough to connect authentically with leadership.
With a vision to be the global leader in online vehicle marketplaces. We transform how people buy and sell across the globe. We discover new ideas and make them happen. We continue to grow, and we continue to evolve – and we aren’t afraid to make big bets.
When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different departments and small enough to connect authentically with leadership.
We embrace a hybrid way of working – mixing working from home with the energy and connection that comes from being together in the office. We champion flexibility and have many policies, procedures and leave options to support flexible work.
A career in Machine Learning will see you working on products that are used every single day by our millions of customers all over the world.
Not something you’d expect from one of the country’s biggest tech companies, is it?
What’s on offer:
A place where you can move your career forward, where you’ll be continuously backed to make new ideas happen, and the chance to do work that makes real, significant impact in the world.
We’re proud to be recognised as one of Australia’s Best Workplaces™ by Great Place to Work®, a Family Friendly Workplace, a WORK180 endorsed employer for women.
The support of a highly engaged, high-performing team including a leadership team that’s you’ll actually have face time with.
24 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender affirming care leave.
Job Description
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
Qualifications
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
Additional Information
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.
💡 Quick Summary
Seeking a career-building opportunity? The Technical Lead, Machine Learning Engineering position is now open for candidates interested in the Back Office Jobs sector. This role in Victoria offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Back Office Jobs is a plus.
