Senior Machine Learning Engineer, Multimodal AI Job at Hike Medical in San Franc
Hike Medical, San Francisco, CA, United States
About Hike Medical Hike Medical is building the defining company in musculoskeletal care. We sit at the intersection of AI, robotics, and healthcare, operating across three product lines: a proprietary AI-vision platform that turns a 30 second web-based foot scan into custom 3D-printed orthotics, an AI agent platform that automates the entire DME workflow from pre-visit processing to claims and revenue cycle, and SoleForge, our vertically integrated 3D printing factory producing custom medical devices at a scale the industry has never seen.
Our customers are both the largest employers on earth and the biggest companies in orthotics and prosthetics. On the clinical side, we\'re live across the industry\'s largest national providers. On the employer side, Fortune 50 companies trust us to protect their on-their-feet workforces.
But custom insoles are just the wedge. Our long-term vision is bionics: AI-designed, robotically manufactured orthotic and prosthetic devices at scale, replacing a fragmented, manual industry that hasn\'t changed in decades. Insoles today, full DME tomorrow, bionics by 2040. Read the full vision at bionics2040.com.
We\'ve stealthily raised $22M through Seed and Series A backed by top-tier investors who invested early in companies like OpenAI, Anduril, and Mercury. We run a fast, results first, high ownership culture out of our new SF Rincon Hill office. If you want to work on problems that sit at the frontier of AI, manufacturing, and healthcare, this is the place.
The Role
As a Senior Machine Learning Engineer, you will build the intelligence layer that automates complex healthcare compliance and document procurement workflows. 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. This is not a pure research 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.
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Our customers are both the largest employers on earth and the biggest companies in orthotics and prosthetics. On the clinical side, we\'re live across the industry\'s largest national providers. On the employer side, Fortune 50 companies trust us to protect their on-their-feet workforces.
But custom insoles are just the wedge. Our long-term vision is bionics: AI-designed, robotically manufactured orthotic and prosthetic devices at scale, replacing a fragmented, manual industry that hasn\'t changed in decades. Insoles today, full DME tomorrow, bionics by 2040. Read the full vision at bionics2040.com.
We\'ve stealthily raised $22M through Seed and Series A backed by top-tier investors who invested early in companies like OpenAI, Anduril, and Mercury. We run a fast, results first, high ownership culture out of our new SF Rincon Hill office. If you want to work on problems that sit at the frontier of AI, manufacturing, and healthcare, this is the place.
The Role
As a Senior Machine Learning Engineer, you will build the intelligence layer that automates complex healthcare compliance and document procurement workflows. 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. This is not a pure research 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.
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