--- title: 'Senior Machine Learning Engineer, Multimodal AI at Hike Medical' canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-multimodal-ai-hike-medical-san-francisco-tqb1yk738d9x' type: 'job' last_seen: '2026-09-09' --- # Senior Machine Learning Engineer, Multimodal AI at Hike Medical - **Company:** Hike Medical - **Location:** San Francisco, CA - **Compensation:** $170k–$300k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-23 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/hike-medical/4bd84d75-a36d-4648-bd2e-924dc0f09741/application **Skills:** Python, LLMs, OCR, AWS, Serverless, APIs, Queues, Backend services, Prompting, Structured outputs, Tool use, Retries, Fallbacks, Guardrails, Model evaluation, Document extraction, Classification, Post-processing, Confidence-based review, Voice AI > Build and improve multimodal AI pipelines to automate healthcare compliance and document procurement workflows. Design LLM-powered extraction and voice AI systems, optimize production infrastructure, and partner with product teams to deploy reliable AI solutions in AWS. ## Job description ## 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 http://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. ## What You’ll Work On - Build and improve multimodal AI pipelines that process healthcare documents, OCR output, transcripts, and workflow context into structured facts and decisions. - Design LLM-powered extraction, classification, validation, and routing systems for operational and clinical workflows. - Improve document intelligence systems across OCR, schema extraction, confidence scoring, error handling, and low-quality input recovery. - Develop voice AI workflows for patient and provider outreach, transcript understanding, post-call extraction, and follow-up automation. - Create evaluation harnesses, benchmarks, and regression tests for extraction quality, hallucination prevention, workflow accuracy, and model changes. - Decide when to use LLMs, deterministic logic, retrieval, human review, or hybrid systems to maximize quality and reliability. - Partner with product and engineering to identify the highest-leverage automation opportunities and translate them into shipped systems. - Optimize cost, latency, and reliability across model providers and infrastructure layers. - Work closely with backend engineers to deploy AI systems into our AWS and serverless environment with strong observability and operational rigor. Technical 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 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. ## Nice to Have - Experience in healthcare, claims, revenue cycle, or regulated operational environments. - 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. - Background in machine learning, applied NLP, information extraction, or related fields. ## About Hike Medical ## Company Overview - **One-liner**: Hike Medical provides clinically proven, custom 3D-printed insoles and musculoskeletal (MSK) solutions to self-insured employers, aiming to reduce healthcare costs and improve employee well-being. - **Entity Type**: Private (Seed Stage) - **Headquarters**: Boston, Massachusetts, USA (with a manufacturing hub, SoleForge, in Peoria, Illinois, USA) - **Founded**: 2022 - **Founders**: Aadi Bhanti (CEO, Co-founder), Steven Chacko (CBO, Co-founder), Amit Bhanti (CPO, LPO, Co-founder) ## Core Business - **Primary industry/industries**: Healthcare Technology, Musculoskeletal (MSK) Health, Digital Health, Additive Manufacturing (3D Printing) - **Target customers**: Self-insured employers, health plans, and clinicians (B2B). The end-users are employees (B2B2C), particularly those in physically demanding roles like manufacturing and blue-collar industries. - **Mission or purpose statement**: "To ensure every employee has access to the care that keeps them moving, healthier, and more energized—starting with the feet." [linkedin.com](https://www.linkedin.com/company/hike-medical) ## Products & Services - **[Hike Custom Insoles]**: A SaaS-enabled physical product. The process involves a user scanning their feet with a smartphone (no app download needed), which uses AI and 3D vision to create a precise digital model. The insoles are then 3D-printed and hand-finished at the company's SoleForge manufacturing hub in Peoria, Illinois, and shipped directly to the user. This is a clinical-grade orthotic designed to prevent and alleviate foot pain and related MSK issues. [hikemedical.com](https://www.hikemedical.com/) - **[Ulcer Detection & Prevention Technology]**: An AI-powered capability to detect and monitor foot ulcers, announced as a novel feature to expand proactive care for at-risk populations. [linkedin.com](https://www.linkedin.com/company/hike-medical) ## Market Standing - **Valuation/Market Cap**: Not publicly available (Private company). - **Key Metric**: Total Funding of $7.0M (Seed Round, August 2025). [linkedin.com](https://www.linkedin.com/company/hike-medical) - **Notable Investors/Partners**: Key partners include OSF HealthCare. [linkedin.com](https://www.linkedin.com/company/hike-medical) - **Growth Signals**: The company has experienced massive headcount growth of +95.5% year-over-year, growing from a small team to 35 employees. It has expanded its operations to 5 countries (United States, United Kingdom, Spain, Canada, India). A key partnership with OSF HealthCare was announced in late 2024 to bring foot care to over 25,000 mission partners. [linkedin.com](https://www.linkedin.com/company/hike-medical) ## Competitive Advantages - **Proprietary 3D Scanning & AI**: Their "ShapeCapture" technology allows for a clinical-grade foot scan using any smartphone, removing the need for in-person appointments and making the process highly scalable. [hikemedical.com](https://www.hikemedical.com/) - **In-House 3D Printing (SoleForge)**: By owning the manufacturing process in Peoria, IL, they control quality, speed, and cost, enabling a direct-to-consumer model that bypasses traditional, expensive clinic-based orthotic supply chains. [hikemedical.com](https://www.hikemedical.com/) - **Focus on the Underserved**: The company specifically targets blue-collar and manufacturing workers—a demographic often overlooked by digital health solutions—addressing a massive, high-cost problem (foot pain and MSK issues) for self-insured employers. [datanyze.com](https://www.datanyze.com/companies/hike-medical/5000016150) - **Clinical & Compliance Backing**: The company is HIPAA compliant and SOC-2 certified, with a Chief Clinical Officer (Amit Bhanti, CPO, LPO) on the leadership team, lending clinical credibility. [hikemedical.com](https://www.hikemedical.com/) ## Strategic Focus - **Scaling B2B Sales**: The company is actively hiring for enterprise sales roles (VP of Employer Sales, Enterprise Account Executives, Channel Account Executives) to grow its footprint with self-insured employers. [builtin.com](https://builtin.com/company/hike-medical) - **Deepening AI & 3D Vision Capabilities**: They are hiring Senior Machine Learning Engineers for "Multimodal AI" and "3D Vision," indicating a focus on improving their scanning technology and expanding into other diagnostic areas like ulcer detection. [builtin.com](https://builtin.com/company/hike-medical) - **Manufacturing Innovation**: The hiring of a Senior Software Engineer for the "3D Print Farm" in Peoria, IL, signals a focus on optimizing and scaling their in-house additive manufacturing operations. [builtin.com](https://builtin.com/company/hike-medical) - **Expanding Clinical Partnerships**: The partnership with OSF HealthCare is a key strategic move to validate their model within a large healthcare system and expand their reach. [linkedin.com](https://www.linkedin.com/company/hike-medical) ## Why Work Here - **High-Growth Environment**: With a 95.5% headcount growth rate in the last year, the company is in a rapid scaling phase, offering significant opportunities for impact and career advancement. [linkedin.com](https://www.linkedin.com/company/hike-medical) - **Mission-Driven Work**: The company is focused on solving a tangible, widespread problem—foot pain and MSK issues for hardworking Americans—which provides a strong sense of purpose. [hikemedical.com](https://www.hikemedical.com/) - **Innovative Tech Stack**: The engineering team works with modern technologies including Ruby, React, React Native, GraphQL, and GitHub, and is pushing the boundaries of AI, 3D vision, and additive manufacturing. [builtin.com](https://builtin.com/company/hike-medical) - **Flexible Work Environment**: The company offers a hybrid workspace with a "flexible" on-site policy. They have worksites in the Chicagoland area and Peoria, IL, with a salary premium for those willing to relocate to Peoria. [builtin.com](https://builtin.com/company/hike-medical) - **Young, Mission-Driven Team**: The company was founded in 2022 and is described as having a "young founding team" focused on solving a real problem for hardworking Americans. [builtin.com](https://builtin.com/company/hike-medical) ## Sources 1. [hikemedical.com](https://www.hikemedical.com/) 2. [linkedin.com](https://www.linkedin.com/company/hike-medical) 3. [builtin.com](https://builtin.com/company/hike-medical) 4. [datanyze.com](https://www.datanyze.com/companies/hike-medical/5000016150) ## Other roles at Hike Medical - [Founding Head of Talent](https://feeny.ai/job/founding-head-of-talent-hike-medical-san-francisco-5h6xx0d298nn) — San Francisco, CA - [Assistant Controller / Finance Manager](https://feeny.ai/job/assistant-controller-finance-manager-hike-medical-san-francisco-g2mxxy71ebs6) — San Francisco, CA - [RevOps Lead](https://feeny.ai/job/revops-lead-hike-medical-san-francisco-kds7et0q9jjx) — San Francisco, CA - [GTM Associate](https://feeny.ai/job/gtm-associate-hike-medical-san-francisco-03s4hsdrp8qh) — San Francisco, CA - [Talent Lead](https://feeny.ai/job/talent-lead-hike-medical-san-francisco-z2bpzwrp2sty) — San Francisco, CA - [Business Development Lead](https://feeny.ai/job/business-development-lead-hike-medical-san-francisco-hmj1kfhnrdj9) — San Francisco, CA - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-hike-medical-san-francisco-nha1ajqh1q4e) — San Francisco, CA - [Compliance & Outcomes Specialist](https://feeny.ai/job/compliance-outcomes-specialist-hike-medical-san-francisco-7es0rv8dbr9m) — San Francisco, CA - [Criteria Project Manager](https://feeny.ai/job/criteria-project-manager-hike-medical-san-francisco-6k93tm5xa1v8) — San Francisco, CA - [DME Documentation Criteria Reviewer](https://feeny.ai/job/dme-documentation-criteria-reviewer-hike-medical-san-francisco-cwkw87x6pjhg) — San Francisco, CA