Machine Learning Engineer

You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.

You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.

You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.

You have experience in optimizing machine learning models for production use cases

You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP

You have some exposure to causal ML models, including things like counterfactuals.

You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.