San Jose, California, United States · Hybrid
$149k–$239k/yr
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, an…
Skills: Machine Learning, Deep Learning, Neural Recommender Systems, Sequential Modeling, Session-based Modeling
San Jose, California, United States · Hybrid
$149k–$239k/yr
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, an…
Skills: Machine Learning, Deep Learning, Neural Recommender Systems, Sequential Modeling, Session-based Modeling
San Jose, California, United States · Hybrid
$154k–$342k/yr
Thank you for considering a career at Ensemble! Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer …
Skills: Python, SQL, Machine Learning, Deep Learning, PyTorch
Cushman & WakefieldSan Jose, California, United States · On-site
$74k–$87k/yr
Job Title Data Analyst Job Description Summary Job Description Responsibilities Understand the business and information needs of business owners and translate those needs into BI/analytics/reporting requirements. Support…
Skills: Power BI, Tableau, Microsoft Excel, Microsoft PowerPoint, Data Mining
San Jose, California, United States · On-site
Job Description A Senior ETL Developer specializing in Google Cloud Platform (GCP) and BigQuery designs, builds, and optimizes large-scale data pipelines. This role requires advanced SQL, Python, orchestration (Airflow),…
Skills: Google Cloud Platform, BigQuery, SQL, Python, Apache Airflow
San Jose, California, United States · Remote OK
Project Coordinator III – Multilingual AI Quality itD is seeking a Project Coordinator III to support the operational execution of multilingual AI quality programs that drive product quality across global AI experiences.…
Skills: Project Coordination, Program Operations, Vendor Management, Multilingual AI Quality, Localization
San Jose, California, United States · On-site
$163k–$237k/yr
Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience in generative AI. Experience with software development. Preferre…
Skills: Program Management, Generative AI, Software Development, Cross-functional Leadership, Risk Management
San Jose, California, United States · On-site
$192k–$250k/yr
JOB DESCRIPTION About NIO NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO’s mission is to shape a joyful lifestyle. NIO aims to build a community startin…
Skills: AI Inference Systems, LLM, VLM, CUDA, C++
San Jose, California, United States · On-site
$150k–$188k/yr
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufactur…
Skills: Portfolio Management, Financial Governance, CapEx Tracking, Jira Configuration, Data Analytics
San Jose, California, United States · On-site
$150k–$200k/yr
About Trackonomy Trackonomy is pioneering a transformative network of interconnected objects. Our goal is to bring inanimate objects to life, enabling them to communicate, think, and interact in real time. We are buildin…
Skills: Financial Modeling, FP&A, Cost Accounting, Unit Economics, Excel
San Jose, California, United States · On-site
$95k–$126k/yr
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
Skills: Outsourced Facilities Management, Data Analysis, Financial Acumen, KPI Monitoring, SLA Management
San Jose, California, United States · Hybrid
$224k–$387k/yr
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, an…
Skills: Quantitative Research, Survey Design, Psychometrics, SQL, Python
San Francisco, California, United States · On-site
$121k–$220k/yr
The Opportunity We are looking for a strategic and experienced Product Marketing Manager to lead go-to-market efforts for Adobe CX Analytics, a unified set of intelligence solutions within Adobe CX Enterprise. This is a …
Skills: Go-To-Market Strategy, Product Positioning, Market Analysis, Sales Enablement, Cross-Functional Leadership
San Jose, California, United States · On-site
$230k–$280k/yr
Senior Director of Finance Information Systems is responsible for the strategic vision, implementation, and operational management of an organization’s financial technology ecosystem. This position bridges the gap betwee…
Skills: Strategic Vision, ERP Implementation, Stakeholder Management, Business Relationship Management, Financial Technology Ecosystem
San Jose, California, United States · Hybrid
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in …
Skills: Embedded Linux, RTOS, AI Inference, Computer Vision, Vitis AI
San Jose, California, United States · On-site
$144k–$180k/yr
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufactur…
Skills: Portfolio Management, Financial Governance, CapEx Tracking, Jira Configuration, Data Analytics
San Jose, California, United States · Hybrid
Job Title AI Assistant Product Manager About the business: Shaping how travelers plan, book, and experience trips through AI Assistants. About the AI Delivery Hub: The AI Delivery Hub is a key engine in Amadeus’ transfor…
Skills: Product Discovery, AI Product Management, LLM Reasoning, Rapid Prototyping, User Research
San Jose, California, United States · Hybrid
$27/hr–$30/hr
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. If you are going into your Junior (3rd) year of college/university and…
Skills: Marketing Coordination, Data Analysis, Project Management, Time Management, Written Communication
San Jose, California, United States · On-site
Overview RCI Coordinator and Demand Planner is responsible for coordinating and facilitating RCI activities/events/training/cost savings, creating accurate forecasts to support supply planning, inventory management, and …
Skills: Demand Planning, Forecasting, S&OP, IBP, SQL
San Jose, California, United States · Hybrid
$150k–$195k/yr
About Index Engines At Index Engines, we’re all about helping companies bounce back from cyber threats and trust their data again — no matter what hits them. Our flagship solution, CyberSense, delivers 99.99% accuracy in…
Skills: C, Python, Distributed Systems, Microservices, RESTful APIs
San Jose, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Develop and advance scalable machine learning solutions for real-time personalization, ranking, and recommendations across Expedia Group brands. Partner with cross-functional teams to design experiments and operationalize production-ready ML models to improve customer experience.
Requires a Bachelor's degree in a technical field and 5+ years of experience delivering production-grade ML solutions. Proficiency in software engineering practices and a strong foundation in statistical analysis and large-scale dataset management are essential.
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.
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 Unified Personalization Service team is part of Expedia Product & Technology. UPS is building Expedia Group's centralized, real-time personalization engine across brands and channels, powering ranking, recommendations, retrieval, and other adaptive experiences that help travelers see more relevant, contextual, and useful experiences throughout their journey.
We are looking for a Machine Learning Scientist III to help build production ML systems for personalization, with emphasis on deep learning, neural recommender systems, sequential and session-based modeling, embeddings, scalable experimentation, and reliable model deployment.
This is a hands-on applied science and engineering role for someone who can contribute across model development, experimentation, data pipelines, deployment, and production model quality.
In this role, you will
Develop, apply, and advance machine learning solutions for personalization use cases, translating business and customer problems into scalable scientific approaches and production-ready models.
Design experiments, evaluate model performance, and use data-driven methods to improve relevance, ranking, recommendation, and overall customer experience across personalization systems.
Partner across engineering, product, analytics, and science teams to define solution approaches, influence technical direction, and deliver ML capabilities that can operate across multiple products and domains.
Contribute technical depth in model development, feature design, data preparation, offline and online evaluation, and the operationalization of machine learning solutions in production environments.
Apply strong technical judgment to system design, API design, data modeling, and low-level solution design that support robust, maintainable, and extensible ML-powered services.
Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Minimum Qualifications
Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, a related technical field, or equivalent professional experience.
5+ years of relevant experience in machine learning, applied science, data science, or software development, including delivering production-grade ML solutions.
Demonstrated ownership of machine learning solutions within a service, multi-service, or domain-level scope, with accountability for model quality, experimentation, and operational performance.
Strong foundation in machine learning methods, statistical analysis, experimentation, feature engineering, and working with large-scale datasets in production environments.
Proficiency in software engineering practices for scientific systems, including coding, low-level design, API design, data modeling, and collaboration with engineering teams to productionize solutions.
Preferred Qualifications
Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related technical field.
Experience building and scaling personalization, recommendation, ranking, retrieval, or relevance models in large, complex consumer-facing environments.
Experience with neural recommendation systems, sequential or session-based recommendation, transformer-based recommenders, semantic retrieval, or representation learning at scale.
Experience with foundation models, LLMs, embedding models, semantic IDs, hybrid LLM-recommender systems, or retrieval-augmented personalization workflows.
Demonstrated ability to use data, metrics, and experimentation to guide prioritization and decision-making while balancing scientific rigor, product impact, and platform scalability.
Experience with production ML workflows such as model serving, experimentation frameworks, feature or data pipelines, monitoring, model lifecycle management, or MLOps
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
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 Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form or contacting your recruiter. 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 about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact with. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is careers.expediagroup.com/jobs. If you require customer service support to cancel, change or ask about a refund for your trip, you can connect with our 24/7 Virtual Agent through the following links: Expedia: https://www.expedia.com/helpcenter Hotels.com: https://service.hotels.com/en-us/ Vrbo: https://help.vrbo.com/ For additional assistance, direct message us on Twitter @ExpediaHelp with your itinerary number and email address: https://twitter.com/ExpediaHelp
Offices: 1111 Expedia Group Way W., Seattle, WA 98119, US · DLF City Phase 1 Road, Gurgaon, Haryana 122002, IN · 1 Martin Pl, Sydney, New South Wales 2000, AU · 65 Rue de la Victoire, Paris, IdF 75009, FR · 63 Rue de Bresoles, Montreal, QC H2Y 1V7, CA
Based on 968 listings with disclosed salaries, most data & analytics jobs in San Jose, CA pay between $110k–$297k per year. Individual offers vary with seniority, company size, and specialization.
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