Senior Machine Learning Engineer

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.

What you’ll do: 

We’re seeking a skilled and motivated Machine Learning Software Engineer with strong experience in AWS Cloud technologies. This role offers the opportunity to work on cutting-edge AI solutions, collaborating with a diverse team to deliver impactful outcomes across our platforms.

What You’ll Be Doing

• Architecting and designing scalable software systems on AWS Cloud, contributing to both high-level strategy and hands-on implementation.
• Building, deploying, and maintaining AI models and training pipelines, ensuring performance, reliability, and alignment with business goals.
• Creating comprehensive design documentation, including both high-level and low-level specifications, and translating these into clean, maintainable code.
• Collaborating cross-functionally with data scientists, product managers, and fellow engineers to develop elegant, efficient solutions, while engaging a variety of stakeholder throughout the process.
• Leveraging AWS services such as Bedrock, SageMaker, S3, DynamoDB, RDS, Lambda, ECS, and Terraform. Experience with Batch, Step Functions, and API Gateway is highly regarded.

What are we looking for? 

• Demonstrated expertise in Python, containerization (Docker), and the AWS ecosystem, with hands-on experience supporting high-traffic environments focused on scalability, reliability, and performance.
• Strong understanding of professional software engineering practices, including the full software development lifecycle: coding standards, code reviews, CI/CD pipelines, source control, build processes, testing, and operational support.
• Proficiency with AWS services such as Bedrock, SageMaker, S3, DynamoDB, RDS, Lambda, ECS, and Terraform. Familiarity with Batch, Step Functions, and API Gateway is highly regarded.
• Proven ability to translate business questions into data-driven solutions, using quantitative techniques and available data to deliver meaningful outcomes.
• Familiarity with common machine learning techniques (e.g., regression, decision trees, clustering, embeddings, image classification, object detection), and practical experience applying them to real-world problems.
• Inclusive and collaborative mindset, aligned with our core behaviours: we change the game, we own it, we step in, we are curious, and we don’t take ourselves too seriously.
• Experience or interest in Generative AI technologies, such as prompt engineering, vector databases, hybrid search, function calling, and evaluation pipelines. Bonus points for experience deploying AI/ML models using frameworks like TensorFlow, PyTorch, SKLearn, or MLOps tools such as Metaflow, Kubeflow, or MLflow.

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.