As a Senior MLOps Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size. By leveraging your experience in machine learning, software engineering, infrastructure, and data, you will:

• Build our machine learning platform from a mixture of off-the-shelf and custom tooling as needed to enable the full model lifecycle from development through deployment
• Partner with ML teams actively developing models to onboard them to platform capabilities
• Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs
• Steer the direction for ML tooling, improve technical standard and advocate for best practices
• Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a un...