Senior Machine Learning engineer - Distribution & Supply

Traveltechessentialist; Washington; On-site; USD 184,500 - 258,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Wellness and travel reimbursement program

Travel discounts

Job summary

Traveltechessentialist is looking for a Senior Machine Learning Engineer to join their Distribution & Supply team. In this role, you'll design, deploy, and maintain machine learning systems that optimize travel supply connections on a global scale.

The position requires strong proficiency in Python or Java, along with significant experience in machine learning workflows and microservice architectures. A generous salary range of $184,500 to $258,000 per year, plus benefits, is offered.

Qualifications

• 8+ years of relevant professional experience.
• Proven experience working with service-oriented or microservice architectures.
• Strong proficiency in at least one modern programming language.

Responsibilities

• Design and build scalable machine learning systems.
• Collaborate with teams to translate business problems into ML solutions.
• Mentor other engineers and data practitioners.

Skills

Python

Java

Machine Learning

API design

Data modeling

Education

Bachelor’s degree in Computer Science or a related technical field

Tools

CI/CD for models

Distributed training frameworks

ML platforms

Job description

Senior Machine Learning Engineer role is part of the Distribution & Supply team within our Technology division. The team builds and optimizes machine learning–driven systems that power how travel supply is connected, priced, and surfaced across Expedia Group’s global marketplace.

This role involves designing, deploying, and scaling robust machine learning systems that directly improve the quality and performance of our distribution platform for both travelers and partners.

Responsibilities

• Design, build, and evolve robust, scalable machine learning systems and services, including system design (LLD), API design, and data modeling to power complex product capabilities across multiple domains.
• Own end‑to‑end delivery of machine learning features and platforms, from problem framing, data sourcing, feature engineering, and model development and evaluation through implementation, testing, deployment, monitoring, and ongoing operational support.
• Collaborate with product, data, and engineering teams to translate ambiguous business and customer problems into clear ML‑driven solutions, selecting appropriate modeling approaches and integrating them into production services and applications.
• Improve model and system quality, reliability, and performance by driving best practices in experimentation, validation, observability, security, and operational excellence for the ML services you own.
• Mentor and support other engineers and data practitioners through technical design discussions, review of modeling and code work, and knowledge sharing, helping to elevate ML engineering practices across teams and domains.
• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, with 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 or a related technical field; or equivalent related professional experience.
• 8+ years of relevant professional experience.
• Strong proficiency in at least one modern programming language commonly used at Expedia Group for ML (such as Python or Java), with deep understanding of core software engineering concepts, system design (LLD), API design, data modeling, and ML fundamentals including model training, evaluation, and deployment.
• Proven experience working with service‑oriented or microservice architectures to integrate ML capabilities into production systems, including building and consuming APIs, working with large‑scale data pipelines, and ensuring reliability, scalability, and security of ML‑backed services.
• Hands‑on experience operating ML workflows in production environments, including monitoring model and data health, responding to incidents, and improving systems based on experimental results and operational feedback.

Preferred Qualifications

• Experience architecting and evolving complex, distributed ML platforms or systems that support high‑volume, low‑latency prediction workloads or large‑scale batch inference, including clear, well‑versioned API contracts and resilient data models.
• Demonstrated ability to lead technical design for ML‑driven features or services, make sound tradeoffs between modeling complexity, performance, and operational cost, and align solutions with broader domain or organizational standards.
• Track record of driving operational excellence for ML systems, such as improving observability of models and data, reducing manual toil through automation (for example, CI/CD for models, feature stores, or model registry workflows), and enhancing performance, resilience, or cost efficiency.
• Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).
• Hands‑on experience with advanced AI/ML tooling and infrastructure appropriate to this level (for example, distributed training frameworks, modern ML platforms, or inference optimization techniques) and using these to deliver robust, scalable, and trustworthy ML solutions across multiple product or domain areas.

Salary range (Seattle): $184,500–$258,000 per year, with potential to increase up to $295,000 based on ongoing, demonstrated, and sustained performance.

Employees in this role have potential pay increases and are supported by a comprehensive benefits package that includes medical/dental/vision coverage, paid time off, a wellness and travel reimbursement program, and various travel discounts.

We are proud to provide a diverse, inclusive work environment. 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.