Senior Machine Learning Engineer

• Build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy
• Own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes
• Work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare

• Strong experience building production AI systems around LLMs, OCR, and unstructured data workflows
• Proven track record shipping applied AI products, not just prototyping models offline
• Deep familiarity with modern LLM workflows including prompting, structured outputs, tool use, retries, fallbacks, guardrails, and model evaluation
• Experience with document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows
• Experience with voice or conversational AI, or adjacent systems involving transcripts, call automation, and conversational extraction
• Strong proficiency in Python and comfort working in production codebases with APIs, queues, and backend services
• Experience deploying and operating AI systems in AWS or similar cloud environments, including serverless or event-driven architectures
• Strong instincts around evaluation, benchmarking, monitoring, and quality assurance for real-world AI systems
• Ability to work across structured and unstructured data and design systems that are robust to noisy, incomplete, and ambiguous inputs

Equity