Machine Learning Scientist III
Machine Learning Scientist III

Machine Learning Scientist III

London Full-Time 48000 - 84000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead end-to-end machine learning projects, from ideation to deployment and monitoring.
  • Company: Join Expedia Group, a leader in global travel technology and solutions.
  • Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
  • Why this job: Make a real-world impact in a fast-paced environment while collaborating with diverse teams.
  • Qualifications: Experience in delivering ML solutions, fluent in Python and ML libraries, strong communication skills.
  • Other info: Be part of an award-winning culture recognised for inclusivity and support.

The predicted salary is between 48000 - 84000 ÂŁ per year.

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 the team The Machine Learning Scientist III role sits on the Content Relevance and Generation AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state‐of‐the‐art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio, while also generating relevant content across the platform.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 analysis, formulate machine learning problems, and build effective and scalable ML 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 and design 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.Qualifications Master\’s degree required; Ph.D. preferred, in Computer Science, Statistics, Mathematics, Engineering, or a related technical field.You have 3+ years of hands‐on experience applying machine learning in production, including dataset creation, feature selection and engineering, model development and optimization, and production deployment.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.Experience with Large Language Models (LLMs), including fine‐tuning, efficient deployment, and architectures.Experience working with data analytics platforms such as Databricks.Hands‐on experience using workflow orchestration tools (e.g., Airflow, Flyte) to build, schedule, and maintain reliable data and ML pipelines.Accommodation requests 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.Expedia Group\’s family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia GroupTM Media Solutions, Expedia Local Expert, CarRentals.comTM, and Expedia CruisesTM.Employment opportunities and job offers at Expedia Group will always come from Expedia Group\’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you\’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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Machine Learning Scientist III employer: Expedia, Inc.

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, empowering you to lead impactful machine learning projects while mentoring others in a supportive environment. Join us in shaping the future of travel and enjoy a rewarding career journey in a fast-paced, dynamic setting.
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Contact Detail:

Expedia, Inc. Recruiting Team

StudySmarter Expert Advice đŸ€«

We think this is how you could land Machine Learning Scientist III

✹Tip Number 1

Familiarise yourself with the specific machine learning projects that Expedia Group has undertaken, especially in the B2B space. Understanding their current solutions and challenges will help you tailor your discussions during interviews.

✹Tip Number 2

Showcase your experience with end-to-end ML solutions by preparing examples of past projects where you led the entire process. Be ready to discuss how you approached problem definition, experimentation, and deployment.

✹Tip Number 3

Highlight your collaborative skills by preparing to discuss how you've worked cross-functionally in previous roles. Emphasise your ability to communicate complex technical concepts to non-technical stakeholders.

✹Tip Number 4

Stay updated on the latest trends in machine learning and be prepared to discuss how these can be applied to improve Expedia Group's offerings. This shows your passion for the field and your commitment to continuous improvement.

We think you need these skills to ace Machine Learning Scientist III

Machine Learning Engineering
Python Programming
PySpark
Keras
TensorFlow
Scala
End-to-End ML Solutions
Data Exploration
Feature Engineering
Model Deployment
Monitoring ML Systems
Collaboration Skills
Technical Communication
Mentoring and Team Development
Continuous Improvement

Some tips for your application đŸ«Ą

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly any end-to-end ML solutions you've delivered. Use keywords from the job description to align your skills with what Expedia Group is looking for.

Craft a Compelling Cover Letter: In your cover letter, express your passion for travel and technology. Discuss specific projects where you've led ML initiatives and how they relate to the role at Expedia Group. Show how your values align with their commitment to an inclusive culture.

Showcase Technical Skills: Clearly outline your proficiency in Python, PySpark, and any ML libraries like Keras or TensorFlow. Provide examples of how you've applied these skills in real-world scenarios, especially in production settings.

Prepare for Communication: Since the role requires explaining complex ideas to non-technical audiences, prepare examples of how you've successfully communicated technical concepts in the past. This will demonstrate your ability to collaborate cross-functionally at Expedia Group.

How to prepare for a job interview at Expedia, Inc.

✹Showcase Your End-to-End ML Experience

Make sure to highlight your experience in delivering end-to-end machine learning solutions. Be prepared to discuss specific projects where you defined problems, explored data, built models, and deployed them in production.

✹Demonstrate Technical Proficiency

Since the role requires fluency in Python and PySpark, along with experience in ML libraries like Keras or TensorFlow, be ready to discuss your technical skills. You might even want to prepare a coding example or two to showcase your abilities.

✹Communicate Clearly

You’ll need to explain complex technical concepts to non-technical stakeholders. Practice distilling your ideas into simple terms and think of examples where you've successfully communicated technical information in the past.

✹Emphasise Collaboration and Mentorship

This role involves working cross-functionally and mentoring others. Share experiences where you collaborated with different teams or guided junior colleagues, highlighting how you fostered a supportive team environment.

Machine Learning Scientist III
Expedia, Inc.
Location: London

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