Senior Machine Learning Infrastructure Engineer, Alation

• 8+ years of experience designing, developing, and shipping software products and services
• 5+ years of experience building production-ready systems
• Demonstrated experience building ML infrastructure supporting launched SaaS products and features
• Highly comfortable working in Python with an interest in system languages such as Go
• Comfortable with ML modeling and concepts around the model development lifecycle
• Familiarity with PyTorch, Tensorflow, Numpy, JAX, or some subset thereof
• Experience developing in the AWS ecosystem
• Demonstrated ability to create efficient and scalable systems
• A desire to work in a small team but take on technical leadership of a critical area
• Experience with one or more MLOps platforms such as Sagemaker, Vertex, Metaflow

Desirable

• Build flexible, scalable, and efficient infrastructure to power ML at Alation
• Design and build ML services for use by multiple internal product teams for training, evaluating, and serving models
• Implement and educate on industry best practices around data handling (integrity and security) and model pipeline curation
• Assist in making buy vs. build decisions for ML infrastructure components
• Stay abreast of current research and participate in regular paper review sessions
• Play active and consulting roles in feature development backed by ML across the company