You have a working understanding of state-of-the-art machine learning (ML) modeling techniques.
Experience with high-caliber teams continuously designing, building and improving ML models.
Experience leading platform engineering teams that bring ML to production scale and robustness.
Experience with all stages of product development including development of new ideas for new features or products, research and development, testing, rollout, and maintenance.
Experience integrating production engineering and data science teams.
A solid understanding of Python.
Experience managing petabyte-scale datasets.
Prior experience dealing with high volume distributed technical architectures with a high cost of failure, i.e. focus on reliability and availability.
Experienced with AWS architecture or similar cloud providers; Azure, GCP.