Hike Medical

Senior Machine Learning Engineer, Multimodal AI

San Francisco, CA · Senior

Sponsorship not specifiedDetected 29 days ago

PythonAWSCloud PlatformsMachine LearningNLPLLMsDesign SystemsProcurementRoboticsMedical DevicesResearch

About the role

It is a product and systems role for someone who knows how to turn modern foundation models into dependable production infrastructure.
You should be excited by messy real-world data, ambiguous edge cases, and high-leverage workflow automation.
You will work across LLMs, OCR pipelines, voice AI, evaluation systems, and backend production infrastructure to help automate the DME process end to end.

You will own systems that turn noisy, unstructured inputs such as faxes, phone transcripts, and operational data into reliable structured facts, decisions, and downstream actions.
Design LLM-powered extraction, classification, validation, and routing systems for operational and clinical workflows.
Develop voice AI workflows for patient and provider outreach, transcript understanding, post-call extraction, and follow-up automation.
Partner with product and engineering to identify the highest-leverage automation opportunities and translate them into shipped systems.
Improve document intelligence systems across OCR, schema extraction, confidence scoring, error handling, and low-quality input recovery.
Create evaluation harnesses, benchmarks, and regression tests for extraction quality, hallucination prevention, workflow accuracy, and model changes.
Optimize cost, latency, and reliability across model providers and infrastructure layers.
Strong experience building production AI systems around LLMs, OCR, and unstructured data workflows.

Experience with document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows.

Experience with human-in-the-loop workflow design and review tooling.
Familiarity with telephony vendors, speech systems, or conversational agent infrastructure.
Experience comparing and routing across model providers such as OpenAI, Anthropic, Bedrock, or equivalent.
Experience designing internal tools or operational systems used directly by workflow teams.

Proven track record shipping applied AI products, not just prototyping models offline.
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.

Build and improve multimodal AI pipelines that process healthcare documents, OCR output, transcripts, and workflow context into structured facts and decisions.

Hike Medical is building the defining company in musculoskeletal care.
We sit at the intersection of
Our customers are both the largest employers on earth and the biggest companies in orthotics and prosthetics.

This listing is sourced directly from Hike Medical's careers page and normalized into a canonical job model.