Sr. Machine Learning Engineer, ML Research Team
Greater NYC Area
1 week ago
Design and build data pipelines and production-level machine learning (ML) infrastructure, using tools such as TensorFlow, Kubernetes, TFX, Kubeflow Pipelines, Apache Beam, Spark and cloud platforms. Leverage your experience to drive best practices in ML systems and data engineering.
Bring ML research from Notebooks to production. Deploy ML models under the constraints of scalability, correctness, and maintainability, with hardware acceleration techniques. Optimize and 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, and others, in building machine learning infrastructure that best supports the ML needs at Vimeo.