Principal Software Engineer (Machine Learning Platform) (3049363)
Job Listing
Information
Location: Oxford, United Kingdom
We have a fun and friendly environment where the key objective is getting things done. Our engineers are part of the full process from design, to code, to test, to deployment and back again for further iteration.
Our team is building the Machine Learning Platform for all data scientists across Tripadvisor. Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improving the business performance.
We use variety of 3rd party packages, including MLFlow, Seldon for ML model tracking and deployment, Kubernetes for hosting models, Argo and Git for CI/CD automation, Spark for big data processing. This is a rapidly changing field and we are deeply involved in open source community to help shape the technology evolution and are constantly looking for components to adopt in order to enhance our platform.
What you’ll do:
• Collaborate closely with data science teams to define feature specifications and develop high quality deliverables for our customers.
• Provide technical leadership for the team.
• Drive innovation, generate and promote new ideas, solve complex problems in innovative way
• Develop across our evolving technology stack - we’re using Java, Python, Spark, Postgres, ArgoCD, Argo Workflow, Seldon, MLFlow and more. We are migrating into AWS cloud and adopting many services that are available in that environment.
• You will have the opportunity to learn many cutting edge technologies around Machine Learning Platform. You will push the boundaries, to test, develop and implement new ideas, technology and opportunities, and be well rewarded and recognized for doing so.
• Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance.
• Touch code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation.
Type
Full-Time