Machine Learning Engineer II
4 weeks ago
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Machine Learning Engineer IIAre 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- Work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design, code and deploy large scale batch and real-time ML solutions.
- Deploy models (including in-house LLM's) into production in a scalable manner for both batch and live inference use cases.
- 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.
- Data Cleaning, Training/Fine-tuning, experiment and evaluate ML models from scratch.
- Degree in software engineering, computer science or a similar field.
- Comfortable programming in Python, Java and Scala.
- Have experience in Big Data technologies, in particular Hive and Spark.
- Experience of using cloud services (e.g., AWS).
- Experience working with Agile/Scrum methodologies.
- Passionate about learning, especially in Machine Learning.
- A high-level understanding Machine learning pipelines.
- Experience with machine learning frameworks such as TensorFlow.
- Familiar in building real-time streaming applications, preferably in Spark.
- Familiar with workflow management tools (e.g., Airflow).
- Familiar with the e-commerce or travel industry.
The total cash range for this position in Seattle is $112,000.00 to $156, 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.
About Expedia GroupExpedia 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 is 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.
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