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- Tasks: Develop cutting-edge machine learning models to enhance travel experiences for millions.
- Company: Join a dynamic team focused on innovation in the travel industry.
- Benefits: Collaborate with top talent and work on impactful projects that matter.
- Why this job: Make a real difference in travel technology while growing your skills in a supportive environment.
- Qualifications: Master's or Ph.D. in a technical field; strong machine learning and programming skills required.
- Other info: Experience with recommender systems and large data sets is a plus.
The predicted salary is between 43200 - 72000 £ per year.
In this role, your expertise and passion for innovation, developing cutting-edge technology and implementing industry-leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams.
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 analyses, formulate machine learning problems, and build effective models.
Partner with data and software engineering teams to deliver your solutions into production.
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.
You have a master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or related technical field; or equivalent related professional experience
You have solid understanding of modern machine learning techniques, statistics, and hypothesis testing. Preferred: You have experience in recommender systems.
You have hands-on experience with data wrangling, feature engineering, model building, and visualization
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
Preferred: You have experience working with large data sets in a distributed computing environment such as Spark.
You have passion for solving interesting and impactful real-world problems using principled techniques and best practices.
Accommodation requests
Machine Learning Scientist II employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist II
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and data science. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your experience with A/B testing and how it has influenced your previous projects. This role emphasizes measurable results, so being able to articulate your impact through data will be crucial.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since you'll be presenting to product management and stakeholders, being able to communicate effectively with non-technical audiences is key.
✨Tip Number 4
Network with professionals in the machine learning community, especially those who have experience in recommender systems. Engaging with others can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Machine Learning Scientist II
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant experience in machine learning, data analysis, and collaboration with cross-functional teams.
Tailor Your CV: Customize your CV to emphasize your expertise in machine learning techniques, statistics, and any experience with recommender systems. Include specific projects or achievements that demonstrate your ability to solve real-world problems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation and technology. Discuss how your background aligns with the company's goals and how you can contribute to improving the travel experience for millions.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python, deep learning frameworks, and data wrangling. Prepare examples of past projects where you successfully implemented machine learning models and the impact they had on business outcomes.
How to prepare for a job interview at Expedia, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning techniques, especially those relevant to the role. Highlight your proficiency in Python, TensorFlow, or PyTorch, and be ready to provide examples of how you've applied these tools in past projects.
✨Demonstrate Problem-Solving Abilities
Since this role involves identifying business problems and scoping solutions, think of specific instances where you've tackled complex challenges. Be ready to explain your thought process and the methodologies you used to arrive at effective solutions.
✨Prepare for A/B Testing Discussions
As your results will be measured through A/B testing, familiarize yourself with the principles and best practices of this method. Be ready to discuss how you've utilized A/B testing in previous roles to validate your models and improve outcomes.
✨Communicate Clearly and Effectively
You'll need to present your ideas and results to various stakeholders. Practice explaining complex technical concepts in a straightforward manner. Use visuals or examples to make your points clearer and ensure that your audience understands the impact of your work.
