Senior Machine Learning Infrastructure Engineer
Há 1 mês
We are on a mission to create a next-generation Machine Learning Platform for all data scientists and machine learning engineers at Tripadvisor.
Our team is building out this platform to empower data scientists to work independently and scale their productivity to enable broader and deeper utilization of machine learning techniques to help improve business performance.
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.
What you'll do:
- 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.
What we are looking for:
- You have a BS or MS in Computer Science or equivalent.
- 8+ years of experience of commercial software development.
- Demonstrated excellence participating on cross functional teams in fast-paced environments, both in terms of technical leadership and hands-on coding.
- Excellent ability to break down complex problems into simple solutions.
- Willingness and ability to learn, evaluate, and make recommendations for leveraging new technologies.
- Strong analytical skills and desire to write clean, correct and efficient code.
- Sense of ownership, urgency and pride in your work.
- Proven that you are a leader who prioritizes, communicates clearly, and partners effectively with both technical and non-technical employees.
- Excellent command of tools and expertise for troubleshooting production issues.
- Experience working with Python, Docker, Kubernetes.
- Exposure to Machine Learning practices and platforms.
- Experience with Kubeflow, Seldon, Spark and AWS cloud service experience is a plus.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at.
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