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Machine Learning Engineer II - Advertising TechnologyExpedia GroupUnited States

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Machine Learning Engineer II - Advertising Technology

Expedia Group
  • US
    United States
  • US
    United States

À propos

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.
Machine Learning Engineer II:
About the team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
We are seeking a
Machine Learning Engineer II
to join our
Advertising Technology team , where we build and operate
large-scale batch and real-time ML systems
that power pricing, inventory optimization, ranking, and trust & safety across the ad platform. This role sits at the intersection of
machine learning, distributed systems, and MLOps , directly influencing how models are designed, deployed, and operated in production at scale.
You will work closely with
Software Engineering, Data Science, Product, and Platform teams
to translate modeling ideas into
reliable, observable, and scalable ML systems , while setting technical direction, raising engineering standards, and mentoring others as the platform and business grow.
In this role, you will:
Build
batch and real-time ML pipelines
for
ad delivery, ranking, bidding, and optimization Deploy and integrate
ML models
into low-latency ad delivery and campaign systems Develop and maintain
data pipelines
for large-scale impression, click, and conversion data Create
reusable ML components, APIs, and workflows
to support experimentation and iteration Ensure
reliability, scalability, and performance
through monitoring and continuous optimization Analyze data to improve
models, features, and business outcomes Collaborate with
product, engineering, and analytics teams
to deliver marketplace impact Apply
software engineering best practices
and support responsible use of AI/ML Minimum Qualifications
Bachelor's degree in
Computer Science, Engineering, Mathematics , or a related technical field, or equivalent practical experience 2+ years
of industry experience in
machine learning engineering , including
model development and production deployment Proficiency in
Python or Java , with experience using
ML frameworks
and solid software engineering fundamentals Proven ability to
own and deliver ML components or services
within cross-functional teams Familiarity with
real-time or near-real-time ML systems
and production operations Preferred Qualifications
Experience operating
production ML systems
at scale, including monitoring, troubleshooting, and iterative improvement Familiarity with
distributed data processing
(Spark, Databricks) and
cloud platforms
(AWS preferred) Exposure to
MLOps practices , such as model deployment, monitoring, retraining, and CI/CD for ML Experience building or experimenting with
ranking, prediction, classification, recommendation, or NLP models Experience designing
APIs, data pipelines, and data models
for ML-powered applications Interest or background in
advertising, marketplaces, e-commerce, or travel platforms Awareness of
responsible and secure AI/ML practices
in production environments
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in San Jose is $129,000.00 to $180,500.00. Employees in this role have the potential to increase their pay up to $206,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
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.
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 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, or veteran status. 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.
  • United States

Compétences linguistiques

  • English
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