Senior Machine Learning Engineer (GenAI)

TL;DR

Senior Machine Learning Engineer (GenAI): Building and scaling next-generation B2B partnership platforms for travel recommendation with an accent on productizing ML models and distributed systems. Focus on designing large-scale ML pipelines, implementing multi-agent architectures, and optimizing model performance for global traveler satisfaction.

Location: Must be based in the US (Seattle or San Jose)

Salary: $184,500 – $318,500

Company

A global travel technology platform powering brands like Expedia, Hotels.com, and Vrbo to make travel smoother and more memorable.

What you will do

• Collaborate with ML Scientists to productize and scale ML models from experimentation to robust production systems.
• Design, build, and own large-scale distributed machine learning systems for training, deployment, inference, and monitoring.
• Lead design discussions and architecture reviews, driving high-impact engineering decisions for ML platforms.
• Mentor and coach junior engineers on system design, code quality, and ML engineering best practices.
• Develop and maintain reusable components, libraries, and tools to accelerate the ML development lifecycle.
• Partner with stakeholders across Data Engineering, Product, and Marketing to align solutions with business goals.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software/ML engineering with a proven track record of delivering ML solutions at scale.
• Strong programming skills in Python, Scala, or Java.
• Deep experience in building production-grade ML pipelines and expertise in MLOps practices.
• Proficiency with Big Data ecosystems (Spark, Hive, Databricks) and cloud environments (AWS, GCP, or Azure).
• Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools (Flyte, Airflow, Kubeflow).

Nice to have

• Familiarity with deep learning, NLP, recommendation systems, and generative AI.
• Experience designing multi-agent architectures for autonomous collaboration and decision-making.
• Understanding of agent planning, memory, tool use, and self-reflection mechanisms.
• Experience with automated testing across unit, integration, and functional layers.

Culture & Benefits

• Full benefits package including medical, dental, and vision insurance.
• Flexible work model with access to modern office spaces.
• Generous time-off, parental leave, and an Employee Assistance Program.
• Wellness and travel reimbursements, plus exclusive travel discounts.
• International Airlines Travel Agent (IATAN) membership.