Woolworths

Machine Learning Engineer-(Software Engineering)

● Sydney office locations with WFH flexibility

● Work on a range of high impact data projects

● Design, develop, implement, scale and maintain Advanced Analytics Solutions

We are Woolworths Group. 200,000+ bright minds, passionate hearts and unique perspectives connected by a shared Purpose to create better experiences together for a better tomorrow.’ It’s that Purpose that fuels our ambition to explore new ideas, make brave commitments and innovate better ways to meet the food and everyday needs of more than 24 million customers every week. 

If you’re excited to turn today’s blue sky thinking into a better tomorrow for future generations, you’ll find yourself supported and enriched in a dynamic, inclusive and empowering workplace that reflects the diverse communities we serve. With a culture of genuine care, a flexible approach to work and opportunities across the group to grow your career and make a meaningful impact, the possibilities for what we can achieve together are endless.

We strive to create better experiences together for a better tomorrow for our customers and team,  bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of AI and Insights to reimagine retail.Through this partnership, the wiq team harnesses the best of Woolworths Group and Quantium data science and analytics talent to reimagine retail by solving the most complex problems using AI and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team.

What you will do

You will design , develop, implement, scale and maintain Advanced Analytics solutions using predominantly Google Cloud (GCP) products. This includes for example data models and pipelines, API endpoints, Machine Learning (ML) features and predictive models. This work is done in multidisciplinary teams in close partnership with Data Scientists, with engineers having the primary responsibility for productionising and scaling solutions.

● Develop Cloud based ML pipelines to solve a broad range of business problems.

● Grow the Engineering Guild capability through pioneering new tech and approaches to improve time to market, reliability and performance of Data Science applications

● Work collaboratively with Data Scientists, ML Engineers & Data Engineers to develop cutting edge retail tools in an agile manner

● Create, present and seek inputs and feedback on architecture, solution designs and foster alignment and support for solutions.

● Apply relevant testing frameworks to ensure the robustness of solutions

● Communicate analyses, insights, solution designs and showcase working solutions

What you will bring

We are looking for an experienced ML Engineer, with a problem solving mindset, able to take sometimes nebulous and abstract challenges, break it down into components and develop solution hypotheses. You will have hands hands on experience in python,SQL or Linux and software development within a commercial setting,

● Bachelor or above degree in Computer Science, Engineering or related field

● Hands on experience in Kubernetes (Argo/Kubeflow) or Docker preferred

● Practical experience with ML algorithms, techniques and packages preferred

● Experience building Machine Learning pipelines preferred

● Experience with Google Cloud preferred

● Experience in Machine Learning engineering preferred

● Experience in ML Ops / DevOps preferred

● Experience building data pipelines with Airflow or other orchestration tools preferred

● Experience in digital media preferred

● General experience in dashboarding, such as Tableau, etc preferred.

What you’ll experience

• A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network.
• Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work.
• 12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment. 4 weeks paid leave for secondary caregivers.
• A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app. A progressive and competitive leave policy that gives you more space for what matters to you.  

Everyone belongs at Woolworths Group 

As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential.

Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems. 

Woolworths Group is an inclusive, team-first company and we value all skills and experiences. If you meet some, but not all of the requirements, we encourage you to submit your application.