Work180
Machine Learning Engineer III
Work180, Seattle, Washington, us, 98127
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 we, 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 Fraud & Risk detection. 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 will do:
Work in a cross-functional team of Machine Learning engineers and Machine Learning Science to design and code large scale batch and real-time ML pipelines.Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision for the team.Communicate and work with geographically distributed cross functional teams.Participate in code reviews to assess overall code quality and flexibility.Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure.Define, develop, and maintain artifacts like technical design or partner documentation.Drive for continuous improvement within an agile development team.Participate in user story creation in collaboration with the team.Support and troubleshoot data and/or system issues as needed.Who you are:
A degree in software engineering, computer science or a similar field.Comfortable programming in Python and Scala (or Java).Knowledgeable in Big Data technologies, in particular Hive, and Spark.Experience in building real-time applications, preferably in Spark.Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch.Familiar with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow).Experience working with Agile/Scrum methodologies.Familiar with the e-commerce or travel industry is a big plus.The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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.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, 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.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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Work in a cross-functional team of Machine Learning engineers and Machine Learning Science to design and code large scale batch and real-time ML pipelines.Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision for the team.Communicate and work with geographically distributed cross functional teams.Participate in code reviews to assess overall code quality and flexibility.Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure.Define, develop, and maintain artifacts like technical design or partner documentation.Drive for continuous improvement within an agile development team.Participate in user story creation in collaboration with the team.Support and troubleshoot data and/or system issues as needed.Who you are:
A degree in software engineering, computer science or a similar field.Comfortable programming in Python and Scala (or Java).Knowledgeable in Big Data technologies, in particular Hive, and Spark.Experience in building real-time applications, preferably in Spark.Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch.Familiar with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow).Experience working with Agile/Scrum methodologies.Familiar with the e-commerce or travel industry is a big plus.The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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.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, 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.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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