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- Tasks: Enhance marketing experimentation platforms and build flexible measurement tools.
- Company: Join Expedia Group, a leader in global travel technology.
- Benefits: Enjoy travel perks, generous time-off, and a flexible work model.
- Why this job: Make a real impact on travel experiences with cutting-edge machine learning solutions.
- Qualifications: Degree in Computer Science or related field; proficient in Python and SQL.
- Other info: Be part of a diverse team recognised for its award-winning culture.
The predicted salary is between 36000 - 60000 £ per year.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
Introduction to team
The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.
Within this division, our Marketing Measurement Analytics team is dedicated to driving data-informed marketing decisions across Expedia Group's portfolio of brands. We build sophisticated measurement capabilities and experimentation platforms that enable marketers to optimize their strategies and demonstrate clear business impact.
About the Role
We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. First, you’ll enhance our production experimentation platform that runs large-scale tests, helping marketers design, launch, and evaluate experiments efficiently and reliably. Second, you’ll help build new flexible measurement tools by creating open-source style add-ons and turning research prototypes into production-ready solutions. This includes developing reusable code libraries for quick analysis and designing tools that work alongside our existing platform.
If you’re passionate about building scalable ML systems that drive business impact and enjoy turning innovative prototypes into robust production tools, this could be the perfect role for you! You’ll play a key role in maintaining our current experimentation platform while helping to build the next generation of marketing measurement tools.
In this role, you will:
- Support software engineering teams to maintain platform performance, troubleshoot issues, and enhance logging systems to ensure reliable operation for 300+ annual experiments
- Optimize core testing code including stratified sampling, simulation and regression frameworks
- Build scalable data pipelines for experiment execution and analysis
- Build flexible measurement tools, create reusable code libraries, and transform research prototypes into production-ready solutions
- Collaborate with data scientists and software engineers to translate requirements and coordinate deployment of tools into production
Experience and qualifications:
Required:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related technical field; or equivalent professional experience
- Proficient in Python, SQL, and PySpark for large-scale data processing
- Experience building scalable systems, preferably with ML/AI components in production environments
- Experience with automated testing and deployment practices, including version control, unit testing, and deployment pipelines (e.g. GitHub Actions)
- Understanding of system internals, including memory management, caching, and distributed computing
- Experience turning prototypes into production code and building flexible, reusable code frameworks
- Foundational knowledge in machine learning principles and statistical methods
Desirable:
- Familiarity with cloud platforms (AWS, GCP)
- Familiarity with open-source development practices and creating modular, adaptable tools
- Knowledge of A/B testing methodologies, stratified sampling, and experimental design principles
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Machine Learning Engineer II, Marketing Testing in London employer: Traveltechessentialist
Contact Detail:
Traveltechessentialist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer II, Marketing Testing in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Expedia Group. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data processing. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of marketing analytics. Be ready to discuss how you can enhance their experimentation platform and contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Expedia Group.
We think you need these skills to ace Machine Learning Engineer II, Marketing Testing in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Machine Learning Engineer II role. Highlight your experience with Python, SQL, and any relevant ML projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Projects: Include examples of your work that demonstrate your ability to build scalable systems and turn prototypes into production-ready solutions. If you’ve got any open-source contributions or personal projects, don’t hesitate to share them with us!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply directly through our careers page. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details about the role and our awesome company culture there!
How to prepare for a job interview at Traveltechessentialist
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and PySpark. Brush up on your knowledge of machine learning principles and be ready to discuss how you've applied these skills in real-world scenarios. The interviewers will want to see that you can not only code but also understand the underlying concepts.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built scalable systems or turned prototypes into production-ready solutions. Think about challenges you faced and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Familiarise Yourself with A/B Testing
Since the role involves marketing measurement, brush up on A/B testing methodologies and experimental design principles. Be ready to explain how you would approach designing an experiment and what metrics you would consider for success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the experimentation platform, and how they measure success. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
