Machine Learning Engineer

1 week ago


Sydney NSW, Australia Luxury Escapes Full time $120,000 - $180,000 per year

Company Description

Ensure the Luxury Escapes Platform remains a class-leading and innovative travel booking platform by bringing your Machine Learning skills to our team

Be part of the team transforming global travel experiences

Luxury Escapes is one of the world's fastest-growing travel websites, with over 8 million members, recently winning the National Travel Industry Award for Most Outstanding Online Travel Agency We are growing rapidly & seeking a self-driven, analytical and strategic Machine Learning Engineer to join the team.

Working at Luxury Escapes

Our mission is to delight our customers with incredible deals for the world's best holidays. We are a collective of forward-thinking people, driven to challenge the travel industry and ourselves to bring outstanding travel experiences to our customer community.

Our Sydney office is on Kent Street - a short walk from Wynyard station, close to great cafes in Barangaroo and with a panoramic view on Sydney harbour.

**Luxury Escapes is an in-person company. We work and collaborate together, face to face in our Barangaroo office.**

Job Description

About the team

Our in-house ML team leverages applied science and advanced technology to help customers discover travel options and create unforgettable travel experiences.

Here are some challenges we're tackling:

  • Personalisation at Scale – How do we ensure that each of our millions of users has a personalised customer journey that reflects their unique preferences?
  • Real-time Recommendations – Implementing strategies to provide instantaneous suggestions as users interact with our platform and product lines (hotels, tours, cruises, flights, experiences etc).
  • Customer Retention – When should we proactively engage with our users, how frequently, and what incentives and channels are most effective?
  • Revenue Management – How should we adjust product pricing and availability, considering both demand and loyalty programs?
  • Scalable ML Infrastructure – Adopting MLOps tools and practices to support our expanding suite of models and handle a massive influx of data.

About the role

As a Machine Learning Engineer, you will play a key role in developing and implementing cutting-edge ML solutions to solve complex business problems. You will collaborate with cross-functional teams to design, build, and deploy models, contributing to the advancement of our technology and driving innovation.

At Luxury Escapes, we embrace a start up mindset, moving fast, driving continuous improvements, while maintaining the highest standards of code quality. You will have a strong bias for action and as you uncover opportunities you will be able to present them to the team and help steer the direction of ML initiatives.

Responsibilities include

  • Develop recommendation and search systems to help customers discover great offers for their next holiday
  • Design revenue management and customer retention solutions to optimize business operations and drive profitability
  • Build ML models using state-of-the-art methods, from research prototyping to production deployment
  • Work closely with your ML Engineer peers, Data Engineers, Software Engineers, and Product Managers
  • Produce well-tested, well-documented, high-quality, easily maintainable code
  • Implement robust model evaluation frameworks to ensure performance metrics meet business objectives
  • Translate business needs into scientific problems to unlock tangible value
  • Clearly communicate complex technical concepts and findings to non-technical stakeholders

Qualifications

Essential:

  • 1+ year of experience developing production-grade ML systems from the ground up
  • Well-versed in ML algorithms and Statistics
  • Proficient in Python, SQL and ML frameworks such as Scikit-learn, LightGBM, XGBoost, PyTorch or TensorFlow
  • Understanding of common software development processes such as version control, continuous integration/delivery and code reviews
  • Great problem-solving skills and an ability to follow a hypothesis-driven approach to make progress
  • An eagerness to keep learning, explore fresh ideas and apply new technologies to real problems

Desirable:

  • Experience with A/B testing
  • Familiar with MLOps tools such as orchestration frameworks and feature stores
  • Bachelor's or Master's Degree in Computer Science, ML, AI, Statistics, or equivalent

Additional Information

What's in it for you?

We consider our people one of our most important assets, and we want our team to love their working lives When you work for Luxury Escapes, you can look forward to:

  • Excellent Remuneration package
  • 20% Discount on Luxury Holidays and Experiences
  • Breakfast and lunch are provided 5-days a week
  • Well-being programs
  • ½ day of birthday leave
  • A super collaborative team that enjoys creating great platforms

If you're interested in the role but don't check every box, apply anyway, we'd love to hear from you

We embrace diversity in our people and make hiring decisions based on your experiences and skills. We do not discriminate based on gender identity, religion, race, national origin, sexual orientation, age, marital status, or disability status. You'll find a collaborative, inclusive, and respectful workplace here at Luxury Escapes, and we are proud to celebrate who you are. Please let us know if you require any reasonable adjustments during the interview.

As a 2025 Circle Back Initiative employer, we're committed to responding to every applicant.



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