Senior Machine Learning Engineer
vor 1 Monat
Sustainability – We are certified carbon neutral and committed to reducing our impact on the environment.
Charities – We have long-term partnerships with charities working to address homelessness.
Permanent role We're REA
REA Group is not your average digital business.
From humble beginnings in a garage in Melbourne's east in 1995, we have grown into a leading global digital business, specialising in property.
With bold and ambitious goals, we are changing the way the world experiences property.
No matter where you're at on your property journey, we're here to help with every step – whether that's finding or financing your next home.
Our people are the key to our success.
At the heart of everything we do, is a thriving culture centred around high performance and care.
We are purpose driven and collaborative, which drives innovation and our ability to make a real impact.
As such, we're proud to be named in Australia's "Top 5" Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.
Where the team fits in
The Senior ML Engineer role sits in the Property team in PropTrack tribe.
PropTrack is REA's property data solutions business.
The capabilities required will underpin REA's market leading position into the future, protect against new market entrants and networks as well as provide a new strategic growth plank for REA Group across Data Solutions, Products, Platforms, Insights and Analytics.
We are the engine room of REA.
Our mission is to:
Improve the quality, access and usage of our property data for consumers, and customers.
Build reusable data products and patterns that unlock value stored in our data Create unique insights based on user, listings, property and customer data Invest in the reliability, quality and security of systems and data What the role is all about
Designing, coding, testing, and deploying new Machine Learning pipelines using Airflow, Python, SQL, and other technologies Support the Data Science to implement new Machine Learning pipelines Identify, track, and remediate data quality issues as well as perform exception handling across a broad variety of data sets Analyse and produce data coverage and quality statistics across internal and external data sets to provide a high level of awareness across multiple teams Champion quality software delivery from inception and design to build and deployment, in collaboration with our Lead Developer and Technical Lead Following agile software development practices such as test-driven development, continuous delivery and pair programming.
Sharing responsibility for all operational aspects of the software that we build, in support of our "you build it; you run it" philosophy where dev-ops is a part of everyday life.
Working with product managers to understand business priorities and communicate technical options, report on progress and express ideas Who we're looking for
Programming skills.
This can be SQL, Python, R, C#, or anything else.
We're happy for you to learn the particulars on the job, but you need to be able to code.
Experience with devops tools and techniques, particularly AWS, CloudFormation, Terraform, GCP, and Docker Experience with building and running Computer Vision ML models Experience with designing and automating ML pipelines Experience with modern software development techniques such as test-driven development, microservice architecture and continuous delivery.
Able to communicate and collaborate effectively with business stakeholders Ability to manage the competing demands of multiple projects in a timely manner – #gsd The REA experience
The physical, mental, emotional and financial health of our people is something we'll never stop caring about.
This is a place to learn and grow.
We're committed to your development – both professionally and personally.
Your experience with us is something we take seriously.
We offer:
A hybrid and flexible approach to working Flexible parental leave offering for primary and secondary carers Programs to support mental, emotional, financial and physical health & wellbeing Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity.
Hack Days so you can bring your big ideas to life Performance recognition programs because hard work should never go unnoticed Our commitment to Diversity, Equity, and Inclusion
We are committed to providing a working environment that embraces and values diversity, equity and inclusion.
We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking – be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience.
We know diverse teams are critical to maintaining our success and driving new business opportunities.
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