Senior Machine Learning Solutions Developer
4 days ago
Luxury Escapes is a leading travel website that offers incredible deals for the world's best holidays. We are seeking a highly skilled Senior Machine Learning Engineer to join our team in Sydney.
About Us
Our company culture values innovation, collaboration, and continuous learning. We believe that our people are our most important asset, and we strive to create a working environment that is inclusive, respectful, and fun.
Salary
We offer a competitive salary package of $120,000 - $150,000 per annum, depending on experience.
Job Description
As a Senior Machine Learning Engineer at Luxury Escapes, you will play a key role in developing and implementing cutting-edge machine learning solutions to solve complex business problems. You will collaborate with cross-functional teams to design, build, and deploy machine learning models, contributing to the advancement of our technology and driving innovation.
Responsibilities
- Develop recommendation and search systems to help customers discover great offers for their next holiday
- Implement, test, and optimise machine learning models using state-of-the-art techniques
- Work closely with data engineers to process and clean large datasets for model training
- Liaise with software engineers to deploy and monitor models
- Produce well-tested, well-documented, high-quality, easily maintainable code
- Conduct feature engineering to enhance model performance and interpretability
- Develop and implement robust model evaluation frameworks to ensure performance metrics meet business objectives
- Collaborate with cross-functional teams, including data scientists, data engineers, software engineers, and product managers
- Clearly communicate complex technical concepts and findings to non-technical stakeholders
- Mentor engineers and other team members on our product, tech stack and values
Requirements
- At least 2 years developing production-grade machine learning systems
- Well-versed in machine learning algorithms and Statistics
- Proficient in Python and SQL
- Familiar with machine learning frameworks such as Scikit-learn, LightGBM, 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
- Natural curiosity for the latest technology and using it to support innovation
- Strong leadership qualities and communication skills combined with a track record of delivering great products
What's in it for you?
- Excellent remuneration package
- 20% Discount on Luxury Holidays and Experiences
- Breakfast and lunch are provided 5-days a week
- Well-being programs
- 1⁄2 day of birthday leave
- A super collaborative team that enjoys creating great platforms
About Our Team
The Recommendations Engine team uses machine learning techniques and A/B testing to run experiments designed to help customers discover travel options and build an unforgettable travel experience. We are tackling challenges such as personalisation at scale, real-time recommendations, full customer journey coverage, and scalable ML infrastructure.
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