Senior ML Ops Engineer

at  TripAdvisor

WE BELIEVE THAT WE ARE BETTER TOGETHER, AND AT TRIPADVISOR WE WELCOME YOU FOR WHO YOU ARE. OUR WORKPLACE IS FOR EVERYONE, AS IS OUR PEOPLE POWERED PLATFORM. AT TRIPADVISOR, WE WANT YOU TO BRING YOUR UNIQUE PERSPECTIVE AND EXPERIENCES, SO WE CAN COLLECTIVELY REVOLUTIONIZE TRAVEL AND TOGETHER FIND THE GOOD OUT THERE.

Our team is building out a next generation Machine Learning Platform for all data scientists and machine learning engineers across all of Tripadvisor’s brands. Our mission is to empower data scientists to work independently and scale their productivity to enable broader and deeper utilization of machine learning techniques to help improve the business performance. Tripadvisor hosts over 400 million monthly active visitors and operates across multiple cloud environments. Our data is at the petabyte scale, requiring a scalable, efficient, and reliable machine learning platform to support it.
We are seeking a talented, experienced, Senior Software Engineer to pave the way towards revolutionizing how we leverage data and Machine Learning!
We leverage Kubernetes and a variety of open source software (e.g. Kubeflow, Seldon, Istio, Mlflow) to train and deploy over one hundred models serving a billion requests per day.

• Lead the development of scalable and efficient machine learning platform products and infrastructure
• Develop technical specifications and architectures for new ML platform features and products
• Collaborate with cross-functional teams of engineers, data scientists, and product stakeholders across the globe to ensure product and infrastructure development aligns with business goals
• Define and enforce engineering best practices to ensure high-quality deliverables
• Participate in the code review process to ensure our code quality standards are met
• Stay up-to-date with the latest ML platform technologies and trends to identify opportunities for product innovation
• Participate in the hiring and onboarding process for new team members
• Communicate effectively with technical and non-technical stakeholders to ensure alignment on project goals and timelines.