At a Glance
- Tasks: Lead the strategy and execution of innovative AI solutions for content generation and moderation.
- Company: Join a leading tech company focused on enhancing travel experiences through cutting-edge technology.
- Benefits: Competitive salary, comprehensive health benefits, paid time off, and travel discounts.
- Why this job: Shape the future of AI in travel and make a real impact on user experiences.
- Qualifications: PhD preferred in relevant fields with extensive experience in machine learning and team leadership.
- Other info: Be part of a diverse team committed to innovation and inclusivity.
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We’re seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized.
Responsibilities
- Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem.
- Lead AI Innovation: Spearhead the deployment of cutting‑edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms.
- Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks.
- Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale.
- Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting‑edge experimentation with new GenAI features.
- Influence & Collaborate: Foster cross‑functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI‑generated content into the core user experience seamlessly.
- Build a World‑Class Team: Recruit, mentor, and manage a high‑performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation.
Minimum Qualifications
- Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience.
- 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems.
- 5+ years of people‑management experience, with a track record of leading high‑performing science teams in a tech‑first environment.
- Hands‑on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine‑tuning).
- Understanding of hallucination, latency, and cost optimization.
- Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences.
- A proven track record of taking high‑risk, high‑reward ML projects from proof‑of‑concept to large‑scale production serving millions of users.
Preferred Qualifications
- Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities.
- Ability to translate complex AI concepts into clear business value for executive stakeholders.
Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience.
Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership.
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. 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.
Director, Machine Learning Science - Content AI employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Machine Learning Science - Content AI
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Machine Learning and AI. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to Machine Learning roles. Think about how you can demonstrate your experience with LLMs and content generation during the chat.
✨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 genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Director, Machine Learning Science - Content AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in Machine Learning Science, especially in areas like NLP and Computer Vision. We want to see how your skills align with our Content AI strategy!
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of high-risk, high-reward ML projects you've led. We love seeing quantifiable results that demonstrate your impact in previous roles.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain complex AI concepts, as we value clarity just as much as technical expertise.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Expedia, Inc.
✨Know Your Stuff
Make sure you brush up on the latest trends in Machine Learning, especially around Large Language Models and Generative AI. Be ready to discuss your hands-on experience with these technologies and how they can be applied to enhance content generation and moderation.
✨Showcase Your Leadership Skills
As a Director, you'll need to demonstrate your ability to lead high-performing teams. Prepare examples of how you've successfully managed teams in the past, focusing on mentoring and fostering a culture of innovation and technical excellence.
✨Bridge Research and Product
Be prepared to discuss how you can connect cutting-edge research with practical product applications. Think about specific projects where you've taken ML concepts from proof-of-concept to large-scale production and be ready to share those stories.
✨Collaborate Like a Pro
This role requires cross-functional collaboration, so think about how you've worked with different teams in the past. Prepare to discuss how you can influence and integrate AI-generated content into user experiences while ensuring brand safety and quality.