Lead Software Engineer - ML Infrastructure

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Requirements:

• 5+ years of experience in building and scaling performant software infrastructure.
• Track record of deploying ML models and familiarity with the full lifecycle of model development.
• Effective team player and communicator, able to work across functions.
• Experience mentoring engineers across teams, including senior engineers.

Responsibilities:

• Lead the development of ML infrastructure for clinical documentation.
• Ensure reliability, performance, and security of training data pipelines.
• Build core inference infrastructure.
• Collaborate with product engineering to build production systems at scale.
• Leverage best practices to improve customer-facing AI models.