PowerToFly
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.
Senior ML/Gen AI Engineer
Introduction to 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 the Strategic Partnerships & Affiliates team in the Expedia Product & Technology division of Expedia Group. We are building the next‑generation, scalable B2B partnership platform that will power hundreds of thousands of demand partners across the industry ranging from big businesses and Enterprises to small bloggers, micro influencers and creators in helping them recommend Expedia Group brands to their audiences and in the process grow their businesses. We aim to redefine the travel partnerships sector by building innovative partner tools and solutions that incorporates the new ways in which today’s travelers discover and shop travel products. To do this, we need technically passionate engineers with an entrepreneurial approach who love challenges, enjoy problem solving and take pride in delivering best‑in‑class products. You will work with a geo‑distributed, cross‑functional team of 50+ engineers designing and developing solutions for complex problems with a wide‑reaching business impact. In this role, you will: Collaborate closely 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; drive high‑impact engineering decisions for ML platforms and applications Mentor and coach junior engineers and peers on best practices in ML engineering, system design, and code quality Develop and maintain reusable components, libraries, and tools to accelerate ML development lifecycle Proactively identify areas for improvement in model performance, pipeline efficiency, data quality, or platform capabilities Ensure scalability, observability, and fault‑tolerance across all components of the ML stack Promote engineering excellence by advocating for best practices in testing, CI/CD, infrastructure‑as‑code, and monitoring Partner with stakeholders across Data Engineering, Product, Marketing, and Platform teams to align solutions with business goals Stay up to date on advancements in MLOps, ML frameworks, distributed systems, and apply learnings to improve systems and processes Minimum Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or 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 modern languages such as Python, Scala, or Java Deep experience in building and maintaining production‑grade ML pipelines and infrastructure Expertise in MLOps practices, including model lifecycle management, versioning, monitoring, and CI/CD for ML Experience with big data ecosystems (e.g., Spark, Hive, Databricks, Delta Lake) and streaming technologies Proficient in working with ML frameworks like TensorFlow, PyTorch, XGBoost, or similar Experience working in cloud‑based environments (AWS, GCP, or Azure) and with infrastructure‑as‑code tools Hands‑on experience with orchestration tools like Flyte, Airflow, Kubeflow, etc. Proficient in containerization and orchestration technologies like Docker and Kubernetes Preferred Qualifications
Familiarity with advanced ML techniques, including deep learning, NLP, recommendation systems, and generative AI Experience designing or implementing multi‑agent architectures for autonomous collaboration and decision‑making Understanding of agent planning, memory, tool use, and self‑reflection mechanisms Experience building basic ML models Experience with automated testing across different layers (unit, integration, functional) The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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 $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, 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. 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.
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Introduction to 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 the Strategic Partnerships & Affiliates team in the Expedia Product & Technology division of Expedia Group. We are building the next‑generation, scalable B2B partnership platform that will power hundreds of thousands of demand partners across the industry ranging from big businesses and Enterprises to small bloggers, micro influencers and creators in helping them recommend Expedia Group brands to their audiences and in the process grow their businesses. We aim to redefine the travel partnerships sector by building innovative partner tools and solutions that incorporates the new ways in which today’s travelers discover and shop travel products. To do this, we need technically passionate engineers with an entrepreneurial approach who love challenges, enjoy problem solving and take pride in delivering best‑in‑class products. You will work with a geo‑distributed, cross‑functional team of 50+ engineers designing and developing solutions for complex problems with a wide‑reaching business impact. In this role, you will: Collaborate closely 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; drive high‑impact engineering decisions for ML platforms and applications Mentor and coach junior engineers and peers on best practices in ML engineering, system design, and code quality Develop and maintain reusable components, libraries, and tools to accelerate ML development lifecycle Proactively identify areas for improvement in model performance, pipeline efficiency, data quality, or platform capabilities Ensure scalability, observability, and fault‑tolerance across all components of the ML stack Promote engineering excellence by advocating for best practices in testing, CI/CD, infrastructure‑as‑code, and monitoring Partner with stakeholders across Data Engineering, Product, Marketing, and Platform teams to align solutions with business goals Stay up to date on advancements in MLOps, ML frameworks, distributed systems, and apply learnings to improve systems and processes Minimum Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or 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 modern languages such as Python, Scala, or Java Deep experience in building and maintaining production‑grade ML pipelines and infrastructure Expertise in MLOps practices, including model lifecycle management, versioning, monitoring, and CI/CD for ML Experience with big data ecosystems (e.g., Spark, Hive, Databricks, Delta Lake) and streaming technologies Proficient in working with ML frameworks like TensorFlow, PyTorch, XGBoost, or similar Experience working in cloud‑based environments (AWS, GCP, or Azure) and with infrastructure‑as‑code tools Hands‑on experience with orchestration tools like Flyte, Airflow, Kubeflow, etc. Proficient in containerization and orchestration technologies like Docker and Kubernetes Preferred Qualifications
Familiarity with advanced ML techniques, including deep learning, NLP, recommendation systems, and generative AI Experience designing or implementing multi‑agent architectures for autonomous collaboration and decision‑making Understanding of agent planning, memory, tool use, and self‑reflection mechanisms Experience building basic ML models Experience with automated testing across different layers (unit, integration, functional) The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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 $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, 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. 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.
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