What youll do:
- Design & build data pipelines & production-level machine learning (ML) infrastructure, using tools such as TensorFlow, Kubernetes, TFX, Kubeflow Pipelines, Apache Beam, Spark & cloud platforms. Leverage your experience to drive best practices in ML systems & data engineering.
- Bring ML research from Notebooks to production. Deploy ML models under the constraints of scalability, correctness, & maintainability, with hardware acceleration techniques. Optimize & give feedback to research-level models to bring them to production level.
- Collaborate with cross functional agile teams of machine learning engineers, video engineers, data engineers, & others, in building machine learning infrastructure that best supports the ML needs at Vimeo.
Skills & knowledge you should possess: