Machine Learning Engineer III

Found in: Jooble US O C2 - 3 weeks ago


Washington DC, United States Expedia, Inc. Full time

Machine Learning Engineer III page is loaded Machine Learning Engineer III
Apply locations Washington - Seattle Campus time type Full time posted on Posted 2 Days Ago job requisition id R-85048 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 III
The MetaSearch Team is looking for a passionate Machine Learning Engineer III to join our team. The Meta Bidding operations team is responsible for ensuring to submit the latest bids to our various Meta partners in the most reliable, secure and transparent way through various ML and bidding pipelines.

We process hundreds of automated workflows dealing with a large volume of data. If you are driven by data and fascinated by building robust data and machine learning pipelines to process massive amounts of data at scale and speed, then we want to hear from you
Work in a cross-functional team of Data and Machine Learning engineers to design and code large-scale batch and real-time data pipelines in AWS
Use concepts of object-oriented design, distributed computing, performance/scalability tuning, data structures and algorithms to batch/real- time data processing
Mentor junior engineers, lead projects, provide the feedback loop to stakeholders and partner teams
Apply software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized, and modular with good naming conventions
Develop and test standard software applications and related programs and procedures to ensure they meet design requirements
Develop data applications using distributed ETL frameworks
Bachelor's or Master's degree preferred in a related technical field; A high performing individual contributor who mentors junior engineers, applies new ML principles to improve existing systems, and leads complex, well-defined projects
~Strong in Python, Spark/Scala or Pyspark, and SQL and have a moderate familiarity with other applicable languages
~ Previous experience building ML pipelines on AWS/GCP/AZURE public cloud infrastructure
~ Built and maintained ML pipeline in end to end production environments including feature engineering, model training, model scoring and model validation
~ Experience with building and supporting Airflow DAGs
~ Hands-on experience with OOAD, design patterns, SQL and NoSQL
~ Familiarity with at least one data stores or API access patterns and Big Data applications such as Hive, ElasticSearch, PostgreSQL, DataBricks, Kedro, Dremio, Tableau, etc.
~ Built and maintained streaming applications in a hybrid/cloud infrastructure
~ Experience with testing, debugging, and fixing issues within established SLAs

The total cash range for this position in Seattle is $137,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. 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. 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. 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.Trademarks and logos are the property of their respective owners. The official website to find and apply for job openings at Expedia Group is careers.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. 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. Machine Learning Scientist III, Marketing
locations Washington - Seattle Campus time type Full time posted on Posted 26 Days Ago Manager, Machine Learning Engineering
locations 2 Locations time type Full time posted on Posted Yesterday Manager, Machine Learning Engineering
locations 2 Locations time type Full time posted on Posted Yesterday #J-18808-Ljbffr


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