At a Glance
- Tasks: Develop and optimise machine learning models to enhance global travel experiences.
- Company: Join Expedia Group, a leader in innovative travel technology.
- Benefits: Enjoy travel perks, flexible work, generous time-off, and career development resources.
- Other info: Collaborative culture with opportunities for growth and innovation.
- Why this job: Shape the future of travel while working with cutting-edge machine learning technologies.
- Qualifications: Master’s or Ph.D. in a technical field with 2+ years of ML experience.
The predicted salary is between 43200 - 72000 £ 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.
In this role, you will:
- Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions.
- Conduct exploratory data analysis, formulate machine learning problems, and build effective models.
- Partner with data and software engineering teams to deliver your solutions into production.
- Develop a deep understanding of our data and ML infrastructure.
- Document the technical details of your work.
- Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner.
- Collaborate and brainstorm with other team members and across the company.
- Stay current with advances in ML and GenAI to drive innovation within the team.
Minimum Qualifications:
- Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience.
- You have 2+ years hands-on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms.
- You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages for data extraction, transformation, and loading.
- A strong foundation in Machine Learning fundamentals, statistics, and experimentation.
- You have real-world experience working with large data sets in a distributed computing environment such as Spark.
- You have good programming practices, ability to write readable, fast code.
- You have intellectual curiosity and desire to learn new things, techniques and technologies.
Preferred Qualifications:
- Experience with ranking systems and recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures.
- Comfortable working with ML platforms like DataBricks and Cloud platforms such as AWS, and Docker.
- Hands-on experience with workflow orchestration tools (e.g., Airflow, Flyte).
Location expectations: This role is based in London, in alignment with our flexible work model which requires employees to be in-office at least three days a week. Relocation assistance may be considered for qualified candidates.
Machine Learning Specialist employer: Expedia Group
Expedia Group is an exceptional employer that prioritises its employees' well-being and professional growth, offering a comprehensive benefits package that includes travel perks, generous time-off, and flexible work arrangements. Our vibrant and inclusive culture fosters collaboration and innovation, ensuring that every team member feels valued and empowered to contribute to shaping the future of travel. With ample opportunities for career development and a commitment to celebrating diversity, joining our London team as a Machine Learning Specialist means embarking on a rewarding journey in a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. Practising common ML interview questions can help you feel more confident when it’s time to shine.
✨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, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Machine Learning Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Specialist role. Highlight your relevant experience, especially with ML in production and any cool projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include a section where you showcase your projects or contributions to ML. Whether it's building datasets or optimising algorithms, we love seeing real-world applications of your skills. Don't be shy—let us know what you've achieved!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our mission at Expedia Group. Keep it engaging and personal—let us feel your enthusiasm!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Expedia Group
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and the specific tools mentioned in the job description, like Python, TensorFlow, and SQL. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled business problems using machine learning. Think of specific examples where you identified challenges, scoped solutions, and delivered results. This will demonstrate your ability to work with product management and stakeholders effectively.
✨Communicate Clearly
Since you'll need to present your ideas to various teams, practice explaining complex concepts in a simple way. Use clear examples and avoid jargon when possible. This will show that you can collaborate and brainstorm with others, which is key in a diverse environment.
✨Stay Current and Curious
Keep up with the latest trends in machine learning and generative AI. Be prepared to discuss recent advancements and how they could apply to the role. Showing your intellectual curiosity will highlight your passion for the field and your commitment to driving innovation.
