Senior Machine Learning Engineer, LLM

About the Company

We’re partnering with a well-funded, fast-scaling healthtech startup reinventing musculoskeletal care using proprietary AI and 3D-printing technology. The business has developed a web-based, sensor-free AI vision platform that transforms a 30-second scan into a clinically approved, precision-manufactured medical device. Already trusted by Fortune 50 employers, major health systems, and national manufacturers, the platform is expanding access to preventative care for hundreds of thousands of Americans.

• Growing 10x year-over-year
• Profitable month over month
• Scaling rapidly toward $100M ARR
• Operating with a high-ownership, execution-first culture out of Boston

This is a rare opportunity to join at a true inflection point—early enough to shape the company, late enough to have real traction.

About the Role

We’re hiring a Senior Machine Learning Engineer to help build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy. You will 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. This role sits at the intersection of machine learning, computer graphics, biomechanics, and real-world manufacturing.

You’ll work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare.

Responsibilities

• Build production AI systems around LLMs, OCR, and unstructured data workflows
• Ship applied AI products, not just prototype models offline
• Design and implement modern LLM workflows including prompting, structured outputs, tool use, retries, fallbacks, guardrails, and model evaluation
• Develop document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows
• Work on voice or conversational AI, or adjacent systems involving transcripts, call automation, and conversational extraction
• Write production-grade Python code in backend services with APIs, queues, and event-driven architectures
• Deploy and operate AI systems in AWS or similar cloud environments
• Establish evaluation, benchmarking, monitoring, and quality assurance for real-world AI systems
• Design systems robust to noisy, incomplete, and ambiguous inputs across structured and unstructured data

Requirements

• 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 (prompting, structured outputs, tool use, retries, fallbacks, guardrails, model evaluation)
• Experience with document intelligence systems (OCR pipelines, document extraction, classification, post-processing, confidence-based review flows)
• Experience with voice or conversational AI, or adjacent systems (transcripts, call automation, 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 (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 robust to noisy, incomplete, and ambiguous inputs

Pay

$230K - $300,000 + Equity

Location: San Francisco, United States