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Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers? This is exactly what the Machine Learning Engineering group in Expedia do. Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia's data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers.Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, Databricks, Kubernetes, AWS and much more.
What you'll do:
You will work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML
Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team
Communicate and work with geographically distributed cross functional teams
Participate in code reviews to assess overall code quality
Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team
Define, develop, and maintain artifacts like technical design or partner documentation
Participate in user story creation in collaboration with the team
Support and troubleshoot data and/or system issues as needed
Who you are:
You have a degree in software engineering, computer science or a similar field
You are comfortable programming in Python, Java and Scala
You have experience in Big Data technologies, in particular Hive and Spark
Experience of using cloud services (e.g., AWS)
You have experience working with Agile/Scrum methodologies
You are passionate about learning, especially in Machine Learning
Nice to have:
You have a high-level understanding Machine learning pipelines
You have experience with machine learning frameworks such as TensorFlow
You are familiar in building real-time streaming applications, preferably in Spark
You are familiar with workflow management tools (e.g., Airflow)
You are familiar with the e-commerce or travel industry
If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.
Machine Learning Engineer II
Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers? This is exactly what the Machine Learning Engineering group in Expedia do. Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia's data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers.Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, Databricks, Kubernetes, AWS and much more.
What you'll do:
You will work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML
Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team
Communicate and work with geographically distributed cross functional teams
Participate in code reviews to assess overall code quality
Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team
Define, develop, and maintain artifacts like technical design or partner documentation
Participate in user story creation in collaboration with the team
Support and troubleshoot data and/or system issues as needed
Who you are:
You have a degree in software engineering, computer science or a similar field
You are comfortable programming in Python, Java and Scala
You have experience in Big Data technologies, in particular Hive and Spark
Experience of using cloud services (e.g., AWS)
You have experience working with Agile/Scrum methodologies
You are passionate about learning, especially in Machine Learning
Nice to have:
You have a high-level understanding Machine learning pipelines
You have experience with machine learning frameworks such as TensorFlow
You are familiar in building real-time streaming applications, preferably in Spark
You are familiar with workflow management tools (e.g., Airflow)
You are familiar with the e-commerce or travel industry
The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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 .
About Expedia Group
Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises.
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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 to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is .
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. Similar Positions Manager, Global Indirect Tax - Advisory and Planning
At Expedia Group, we're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities. If you require an accommodation or adjustment for any part of the application or hiring process, please let us know by completing our Accommodation Request form.