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Staff Software Engineer

  • Melbourne

  • Full-Time | Permanent

  • Exclusive Partnership for Interface Agency with me&u

A LITTLE ABOUT ME&U
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When it comes to food experiences, me&u helps guests feel like locals wherever they are. The company’s vision is to bring that feeling to everyone, anywhere, so no matter what neighbourhood someone lives in or visits, they will know the right place to go and exactly what to order.

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me&u is used by 6000+ bars, pubs, and restaurants to create memorable guest experiences and grow their brands. With 200 staff across five countries, and headquartered in Melbourne, Australia, me&u is the consolidation of two leading hospitality technology companies: Mr Yum and me&u, who merged in November 2023.

ABOUT THE ROLE

As a Staff Software Engineer with Machine Learning expertise on the Spots team, this role operates as a pivotal Individual Contributor, driving technical direction, solution design, and hands-on delivery within a cross-functional team, while aligning to me&u’s engineering principles and technical vision.

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As part of me&u’s vision, Spots is a new consumer-facing app and web platform which aims to be the one place for saving, discovering, and sharing food and drink recommendations with friends. In this role, the successful candidate will work end to end on building Spots, leveraging ML and AI and me&u’s deep dataset to personalise users’ journeys in ways that feel delightful and helpful, but never intrusive. This includes personalised recommendations, smarter discovery, collaborative filtering systems, embedding-based search, and timely suggestions.

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This role is expected to remain deep in the tools, delivering high-leverage production code and acting as a technical multiplier by enabling the team to do its best work through expertise and technical leadership.

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The role collaborates closely with the Spots Engineering Manager, the Product Manager who is also me&u’s co-founder, the Product Designer, and the me&u-wide AI and ML Engineering Practice Lead to balance desirability, viability, and feasibility across product decisions.

WHAT YOU’LL DO

  • Leverage deep ML expertise to design and ideate machine learning applications, including recommendations, collaborative filtering, and embedding-based search

  • Contribute to and own solution design and architecture for new products and features from conception to production

  • Write, test, and maintain high-quality, scalable systems, including event-driven data pipelines feeding into and out of ML models using Infrastructure as Code

  • Champion engineering and quality practices, including code reviews, security, testing, and monitoring

  • Independently own technical delivery of initiatives across cross-functional projects

  • Act as a technical mentor to other engineers, providing guidance across ML capability and engineering practices

WHAT YOU’LL NEED

Deep Machine Learning Expertise (Must Haves)

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  • Proven production experience leveraging machine learning, generative AI, and big data technologies

  • Expertise in recommendation systems, collaborative filtering, and embedding-based search

  • Experience setting up and maintaining event-driven ML data pipelines using Infrastructure as Code

  • Commercial DataOps and or MLOps experience

  • Distributed Systems

  • Experience building scalable, modularised distributed applications

  • Event Driven Architecture, Domain Driven Design, and distributed systems experience

  • Technical Proficiency

  • Strong engineering capability using modern programming languages such as Typescript, Python, Javascript, Go, Ruby

  • Experience with front-end technologies including HTML, CSS, and JavaScript, with React advantageous

  • Experience with cloud platforms such as AWS, GCP, or Azure, including observability practices

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Soft Skills

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  • Strong coaching capability

  • Excellent communication skills across technical and non-technical stakeholders

NICE TO HAVE

  • Experience in consumer-facing personalisation

  • Experience in personalising digital ordering

  • Understanding of the hospitality industry

  • Strength in modern front-end architecture or consumer-facing hybrid app development

IF WE’D WORKED WITH YOU IN THE PAST SIX WEEKS, YOU WOULD HAVE…

  • Developed and deployed a Spots recommendation system using collaborative filtering and embedding-based search to personalise users’ discovery based on taste profiles

  • Built and launched ML models for structured data extraction from raw datasets

WHY ME&U

  • Work with impact and purpose. We’re helping the hospitality and entertainment industries to thrive and me&u is at the forefront of this. Expect collaboration and interesting problems to solve.

  • Work with great people. Work alongside a supportive, diverse and inclusive team. You’ll have the trust, freedom and support to experiment and not be afraid of failure but to learn from it…and have fun together along the way.

  • Work that challenges you. We’re growing quickly, and you will too. You’ll have numerous opportunities to embrace discomfort, grow and learn as me&u expands and scales globally.

  • Work that works for you. We’re a flexible, remote-friendly place with inclusive leave options and day-to-day work times to suit your routine. We prioritise our team’s mental health & overall wellbeing, with access to mental health days and support programs.

 

 

Diversity and Inclusion Commitment

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We’re committed to growing and empowering an inclusive me&u community. That’s why we actively encourage applications from candidates from all backgrounds, experiences, and perspectives. If you require accessibility assistance at any stage of the process, please let us know.

We are super excited to hear from you, learn more about you and tell you more about us. So hit APPLY now and let's catch-up.

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