{"jobs":[{"id":"e1f809df-f242-4404-a4e3-8f3b0154eb72","title":"Member of Technical Staff - Research Scientist","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-26T08:15:49.695+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/kineticsystems/e1f809df-f242-4404-a4e3-8f3b0154eb72","applyUrl":"https://jobs.ashbyhq.com/kineticsystems/e1f809df-f242-4404-a4e3-8f3b0154eb72/application","descriptionHtml":"<p style=\"min-height:1.5em\">Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.</p><p style=\"min-height:1.5em\">We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.</p><p style=\"min-height:1.5em\"></p><h2>The Role</h2><p style=\"min-height:1.5em\">As a <strong>Member of Technical Staff (Research Engineer)</strong>, you’ll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks. You'll be joining an energetic, early-stage startup environment and have ownership across the full stack of what we do: product, research, training, evals, and infrastructure.</p><p style=\"min-height:1.5em\"><strong>Note: </strong>This is a full-time role, required to be in-person in SF.</p><p style=\"min-height:1.5em\"></p><h2>What You’ll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows</p></li><li><p style=\"min-height:1.5em\">Develop, train, and evaluate computer-use agents for complex healthcare interfaces</p></li><li><p style=\"min-height:1.5em\">Write and publish papers in academic conferences</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Who You Are</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Published at 1+ first-author papers in a top ML conference (NeurIPS, ICLR, ICML, etc.)</p></li><li><p style=\"min-height:1.5em\">Have experience with PyTorch, HuggingFace, or similar libraries</p></li><li><p style=\"min-height:1.5em\">Familiar with best practices around RLEs, benchmarks, evals, and post-training</p></li><li><p style=\"min-height:1.5em\">Interested in healthcare as an application (prior background not necessary)</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Why Us</h2><p style=\"min-height:1.5em\">If you join our team, you will be joining a team with...</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Founding-level impact and ownership</p></li><li><p style=\"min-height:1.5em\">An opportunity to advance AI research in one of its most meaningful application areas</p></li><li><p style=\"min-height:1.5em\">Competitive compensation and meaningful equity</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li><li><p style=\"min-height:1.5em\">Comprehensive health, dental, and vision coverage</p></li><li><p style=\"min-height:1.5em\">401(k)</p></li><li><p style=\"min-height:1.5em\">Free lunch + dinner</p></li></ul>","descriptionPlain":"Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.\n\nWe spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.\n\n\n\n\nTHE ROLE\n\nAs a Member of Technical Staff (Research Engineer), you’ll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks. You'll be joining an energetic, early-stage startup environment and have ownership across the full stack of what we do: product, research, training, evals, and infrastructure.\n\nNote: This is a full-time role, required to be in-person in SF.\n\n\n\n\nWHAT YOU’LL DO\n\n - Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows\n\n - Develop, train, and evaluate computer-use agents for complex healthcare interfaces\n\n - Write and publish papers in academic conferences\n\n\n\n\nWHO YOU ARE\n\n - Published at 1+ first-author papers in a top ML conference (NeurIPS, ICLR, ICML, etc.)\n\n - Have experience with PyTorch, HuggingFace, or similar libraries\n\n - Familiar with best practices around RLEs, benchmarks, evals, and post-training\n\n - Interested in healthcare as an application (prior background not necessary)\n\n\n\n\nWHY US\n\nIf you join our team, you will be joining a team with...\n\n - Founding-level impact and ownership\n\n - An opportunity to advance AI research in one of its most meaningful application areas\n\n - Competitive compensation and meaningful equity\n\n - Unlimited PTO\n\n - Comprehensive health, dental, and vision coverage\n\n - 401(k)\n\n - Free lunch + dinner"},{"id":"ddb3416b-5ff9-4297-9a45-1a49a0c66646","title":"Data Operations","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-26T08:43:50.188+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/kineticsystems/ddb3416b-5ff9-4297-9a45-1a49a0c66646","applyUrl":"https://jobs.ashbyhq.com/kineticsystems/ddb3416b-5ff9-4297-9a45-1a49a0c66646/application","descriptionHtml":"<p style=\"min-height:1.5em\">Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>The Role</h2><p style=\"min-height:1.5em\">As an <strong>Data Operations Lead</strong>, you will interface with AI and healthcare customers, scope requirements, and help construct high quality datasets, environments, and evaluations for AI models.</p><p style=\"min-height:1.5em\"></p><h2>What You’ll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Lead strategies for generating / acquiring novel datasets and partnerships</p></li><li><p style=\"min-height:1.5em\">Manage expert contributors</p></li><li><p style=\"min-height:1.5em\">Collaborate with researchers and engineers to align data with overall research agendas</p></li><li><p style=\"min-height:1.5em\">Develop and implement processes for curating and QC'ing data pipelines at scale</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Who You Are</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Previous work experience building expert networks or delivering human data projects</p></li><li><p style=\"min-height:1.5em\">Are scrappy, hands-on, and willing to do whatever it takes to deliver</p></li><li><p style=\"min-height:1.5em\">Understand how to improve, incentivize, and maintain contributor networks</p></li><li><p style=\"min-height:1.5em\">Have had <strong>at least one job in healthcare</strong> and moderate domain knowledge</p></li><li><p style=\"min-height:1.5em\">Are comfortable working long hours in a high-intensity, early-stage environment</p></li><li><p style=\"min-height:1.5em\">Are excited to be on-site in SF and collaborate closely with a small team</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Why Us</h2><p style=\"min-height:1.5em\">If you join our team, you will be joining a team with...</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Founding-level impact and ownership</p></li><li><p style=\"min-height:1.5em\">Leading AI research + healthcare expertise</p></li><li><p style=\"min-height:1.5em\">Competitive compensation and meaningful equity</p></li><li><p style=\"min-height:1.5em\">An opportunity to advance AI research in one of its most meaningful application areas</p></li></ul><p style=\"min-height:1.5em\">You'll also receive...</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li><li><p style=\"min-height:1.5em\">Comprehensive health, dental, and vision coverage</p></li><li><p style=\"min-height:1.5em\">401(k)</p></li><li><p style=\"min-height:1.5em\">Free lunch + dinner</p></li></ul>","descriptionPlain":"Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.\n\n \n\n\nTHE ROLE\n\nAs an Data Operations Lead, you will interface with AI and healthcare customers, scope requirements, and help construct high quality datasets, environments, and evaluations for AI models.\n\n\n\n\nWHAT YOU’LL DO\n\n - Lead strategies for generating / acquiring novel datasets and partnerships\n\n - Manage expert contributors\n\n - Collaborate with researchers and engineers to align data with overall research agendas\n\n - Develop and implement processes for curating and QC'ing data pipelines at scale\n\n\n\n\nWHO YOU ARE\n\n - Previous work experience building expert networks or delivering human data projects\n\n - Are scrappy, hands-on, and willing to do whatever it takes to deliver\n\n - Understand how to improve, incentivize, and maintain contributor networks\n\n - Have had at least one job in healthcare and moderate domain knowledge\n\n - Are comfortable working long hours in a high-intensity, early-stage environment\n\n - Are excited to be on-site in SF and collaborate closely with a small team\n\n\n\n\nWHY US\n\nIf you join our team, you will be joining a team with...\n\n - Founding-level impact and ownership\n\n - Leading AI research + healthcare expertise\n\n - Competitive compensation and meaningful equity\n\n - An opportunity to advance AI research in one of its most meaningful application areas\n\nYou'll also receive...\n\n - Unlimited PTO\n\n - Comprehensive health, dental, and vision coverage\n\n - 401(k)\n\n - Free lunch + dinner"},{"id":"01e201ce-cedf-436a-8c7f-8006e6126771","title":"Member of Technical Staff - Software Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-26T08:06:03.965+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/kineticsystems/01e201ce-cedf-436a-8c7f-8006e6126771","applyUrl":"https://jobs.ashbyhq.com/kineticsystems/01e201ce-cedf-436a-8c7f-8006e6126771/application","descriptionHtml":"<p style=\"min-height:1.5em\">Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.</p><p style=\"min-height:1.5em\">We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>The Role</h2><p style=\"min-height:1.5em\">As a <strong>Member of Technical Staff (Software Engineer)</strong>, you’ll be closely involved in all aspects of engineering, with a particular eye on building RL environments, translating research into deliverables and product, building out core infrastructure and back-end systems, and developing user-facing websites and APIs. We move at the speed of research (i.e. very fast), and you will need to as well!</p><p style=\"min-height:1.5em\"><strong>Note: </strong>This is a full-time role, required to be in-person in SF.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>What You’ll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows</p></li><li><p style=\"min-height:1.5em\">Build websites and other applications</p></li><li><p style=\"min-height:1.5em\">Maintain customer-facing products</p></li><li><p style=\"min-height:1.5em\">Manage a team of developers</p></li><li><p style=\"min-height:1.5em\">Own internal tooling (data pipelines, dashboards, observability, etc.) that helps our research team move faster</p></li><li><p style=\"min-height:1.5em\">Translate research code into robust, scalable software</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Who You Are</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">2+ years industry SWE experience</p></li><li><p style=\"min-height:1.5em\">Strong background in React, NextJS, Tailwind, and SQL</p></li><li><p style=\"min-height:1.5em\">Proficient in DevOps / CloudOps (e.g. Docker, Terraform, etc.)</p></li><li><p style=\"min-height:1.5em\">Familiar with RLEs, benchmarks, evals, and post-training</p></li><li><p style=\"min-height:1.5em\">Experience working with sensitive data (health, finance, etc.)</p></li><li><p style=\"min-height:1.5em\">Interested in healthcare as an application (prior background not necessary)</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Why Us</h2><p style=\"min-height:1.5em\">If you join our team, you will be joining a team with...</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Founding-level impact and ownership</p></li><li><p style=\"min-height:1.5em\">An opportunity to advance AI research in one of its most meaningful application areas</p></li><li><p style=\"min-height:1.5em\">Competitive compensation and meaningful equity</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li><li><p style=\"min-height:1.5em\">Comprehensive health, dental, and vision coverage</p></li><li><p style=\"min-height:1.5em\">401(k)</p></li><li><p style=\"min-height:1.5em\">Free lunch + dinner</p></li></ul>","descriptionPlain":"Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.\n\nWe spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.\n\n \n\n\nTHE ROLE\n\nAs a Member of Technical Staff (Software Engineer), you’ll be closely involved in all aspects of engineering, with a particular eye on building RL environments, translating research into deliverables and product, building out core infrastructure and back-end systems, and developing user-facing websites and APIs. We move at the speed of research (i.e. very fast), and you will need to as well!\n\nNote: This is a full-time role, required to be in-person in SF.\n\n \n\n\nWHAT YOU’LL DO\n\n - Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows\n\n - Build websites and other applications\n\n - Maintain customer-facing products\n\n - Manage a team of developers\n\n - Own internal tooling (data pipelines, dashboards, observability, etc.) that helps our research team move faster\n\n - Translate research code into robust, scalable software\n\n \n\n\nWHO YOU ARE\n\n - 2+ years industry SWE experience\n\n - Strong background in React, NextJS, Tailwind, and SQL\n\n - Proficient in DevOps / CloudOps (e.g. Docker, Terraform, etc.)\n\n - Familiar with RLEs, benchmarks, evals, and post-training\n\n - Experience working with sensitive data (health, finance, etc.)\n\n - Interested in healthcare as an application (prior background not necessary)\n\n \n\n\nWHY US\n\nIf you join our team, you will be joining a team with...\n\n - Founding-level impact and ownership\n\n - An opportunity to advance AI research in one of its most meaningful application areas\n\n - Competitive compensation and meaningful equity\n\n - Unlimited PTO\n\n - Comprehensive health, dental, and vision coverage\n\n - 401(k)\n\n - Free lunch + dinner"},{"id":"3c2d8a77-218a-43a3-8906-fe882a3a6dd1","title":"Healthcare Partnerships","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-05-17T22:58:52.448+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/kineticsystems/3c2d8a77-218a-43a3-8906-fe882a3a6dd1","applyUrl":"https://jobs.ashbyhq.com/kineticsystems/3c2d8a77-218a-43a3-8906-fe882a3a6dd1/application","descriptionHtml":"<p style=\"min-height:1.5em\">Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>The Role</h2><p style=\"min-height:1.5em\">As a Healthcare Partnerships Lead, you will help scale Kinetic’s healthcare partnerships and GTM function. You will identify, negotiate, close, and manage partnerships with health systems, medical groups, specialty practices, data networks, and other organizations.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>What You’ll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Handle the end-to-end sales cycle with healthcare organizations and own a large chunk of the partner pipeline, including: outbound motion, pitch materials, CRM process, diligence checklist, and success metrics.</p></li><li><p style=\"min-height:1.5em\">Work closely with researchers and engineers to align with overall engineering and research agendas</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Who You Are</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">You have 5+ years of experience in healthcare partnerships, business development, data licensing, RWD, health tech, life sciences data, provider strategy, or enterprise healthcare sales.</p></li><li><p style=\"min-height:1.5em\">You have directly sourced, negotiated, or managed complex partnerships with health systems, provider groups, payers, EHR vendors, data vendors, life sciences companies, or research networks.</p></li><li><p style=\"min-height:1.5em\">You understand healthcare data: EHR data, claims, notes, imaging, labs, registries, FHIR/HL7, de-identification, tokenization, data quality, governance, and the practical messiness of getting data out of clinical systems.</p></li><li><p style=\"min-height:1.5em\">You can credibly discuss HIPAA, de-identification, DUAs, BAAs, IRB/research review, data governance, information security review, and commercial data licensing structures.</p></li><li><p style=\"min-height:1.5em\">You have strong executive presence and can build trust with health system C-suites, general counsel, privacy officers, clinical informatics leaders, research leaders, and data governance committees.</p></li><li><p style=\"min-height:1.5em\">You are scrappy, high-agency, and willing to do unglamorous work: cold outbound, conference follow-up, contract redlines, data dictionaries, partner Q&amp;A, procurement portals, and last-mile operational details.</p></li><li><p style=\"min-height:1.5em\">Are comfortable working long hours in a high-intensity, early-stage environment</p></li><li><p style=\"min-height:1.5em\">On-site or remote is equally acceptable</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Why Us</h2><p style=\"min-height:1.5em\">If you join our team, you will be joining a team with...</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Founding-level impact and ownership</p></li><li><p style=\"min-height:1.5em\">Leading AI research + healthcare expertise</p></li><li><p style=\"min-height:1.5em\">Competitive compensation and meaningful equity</p></li><li><p style=\"min-height:1.5em\">An opportunity to advance AI research in one of its most meaningful application areas</p></li></ul><p style=\"min-height:1.5em\">You'll also receive...</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li><li><p style=\"min-height:1.5em\">Comprehensive health, dental, and vision coverage</p></li><li><p style=\"min-height:1.5em\">401(k)</p></li><li><p style=\"min-height:1.5em\">Free lunch + dinner</p></li></ul>","descriptionPlain":"Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.\n\n \n\n\nTHE ROLE\n\nAs a Healthcare Partnerships Lead, you will help scale Kinetic’s healthcare partnerships and GTM function. You will identify, negotiate, close, and manage partnerships with health systems, medical groups, specialty practices, data networks, and other organizations.\n\n \n\n\nWHAT YOU’LL DO\n\n - Handle the end-to-end sales cycle with healthcare organizations and own a large chunk of the partner pipeline, including: outbound motion, pitch materials, CRM process, diligence checklist, and success metrics.\n\n - Work closely with researchers and engineers to align with overall engineering and research agendas\n\n \n\n\nWHO YOU ARE\n\n - You have 5+ years of experience in healthcare partnerships, business development, data licensing, RWD, health tech, life sciences data, provider strategy, or enterprise healthcare sales.\n\n - You have directly sourced, negotiated, or managed complex partnerships with health systems, provider groups, payers, EHR vendors, data vendors, life sciences companies, or research networks.\n\n - You understand healthcare data: EHR data, claims, notes, imaging, labs, registries, FHIR/HL7, de-identification, tokenization, data quality, governance, and the practical messiness of getting data out of clinical systems.\n\n - You can credibly discuss HIPAA, de-identification, DUAs, BAAs, IRB/research review, data governance, information security review, and commercial data licensing structures.\n\n - You have strong executive presence and can build trust with health system C-suites, general counsel, privacy officers, clinical informatics leaders, research leaders, and data governance committees.\n\n - You are scrappy, high-agency, and willing to do unglamorous work: cold outbound, conference follow-up, contract redlines, data dictionaries, partner Q&A, procurement portals, and last-mile operational details.\n\n - Are comfortable working long hours in a high-intensity, early-stage environment\n\n - On-site or remote is equally acceptable\n\n \n\n\nWHY US\n\nIf you join our team, you will be joining a team with...\n\n - Founding-level impact and ownership\n\n - Leading AI research + healthcare expertise\n\n - Competitive compensation and meaningful equity\n\n - An opportunity to advance AI research in one of its most meaningful application areas\n\nYou'll also receive...\n\n - Unlimited PTO\n\n - Comprehensive health, dental, and vision coverage\n\n - 401(k)\n\n - Free lunch + dinner"},{"id":"209873f8-541e-4afe-9782-78487dffb734","title":"Internship","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-18T21:37:29.782+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/kineticsystems/209873f8-541e-4afe-9782-78487dffb734","applyUrl":"https://jobs.ashbyhq.com/kineticsystems/209873f8-541e-4afe-9782-78487dffb734/application","descriptionHtml":"<p style=\"min-height:1.5em\">Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.</p><p style=\"min-height:1.5em\">We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>The Role</h2><p style=\"min-height:1.5em\">As an<strong> Intern</strong>, you’ll get hands-on experience across the full stack of what we do: product, research, training, evals, and infrastructure.</p><p style=\"min-height:1.5em\"><strong>Note: </strong>This is a full-time role, required to be in-person in SF. Internships must be at least 3-months.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>What You’ll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Whatever it takes! Please read the other job descriptions to get a sense of what we do</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Who You Are</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Have experience with PyTorch, HuggingFace, or similar libraries</p></li><li><p style=\"min-height:1.5em\">Familiar with best practices around RLEs, benchmarks, evals, and post-training</p></li><li><p style=\"min-height:1.5em\">Interested in healthcare as an application (prior background not necessary)</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Why Us</h2><p style=\"min-height:1.5em\">If you join our team, you will be joining a team with leading healthcare + AI expertise, and an opportunity to help advance AI research in one of its most meaningful application areas.</p>","descriptionPlain":"Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.\n\nWe spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.\n\n \n\n\nTHE ROLE\n\nAs an Intern, you’ll get hands-on experience across the full stack of what we do: product, research, training, evals, and infrastructure.\n\nNote: This is a full-time role, required to be in-person in SF. Internships must be at least 3-months.\n\n \n\n\nWHAT YOU’LL DO\n\n - Whatever it takes! Please read the other job descriptions to get a sense of what we do\n\n \n\n\nWHO YOU ARE\n\n - Have experience with PyTorch, HuggingFace, or similar libraries\n\n - Familiar with best practices around RLEs, benchmarks, evals, and post-training\n\n - Interested in healthcare as an application (prior background not necessary)\n\n \n\n\nWHY US\n\nIf you join our team, you will be joining a team with leading healthcare + AI expertise, and an opportunity to help advance AI research in one of its most meaningful application areas."},{"id":"3c143e89-c597-447b-bbbc-c879000681b9","title":"Member of Technical Staff - Clinical AI Research Scientist","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-20T02:15:46.137+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/kineticsystems/3c143e89-c597-447b-bbbc-c879000681b9","applyUrl":"https://jobs.ashbyhq.com/kineticsystems/3c143e89-c597-447b-bbbc-c879000681b9/application","descriptionHtml":"<p style=\"min-height:1.5em\">Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.</p><p style=\"min-height:1.5em\">We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>The Role</h2><p style=\"min-height:1.5em\">As a <strong>Clinical AI Research Scientist</strong>, you’ll help drive our research agenda towards advancing AI model capabilities on real-world healthcare tasks. You'll help build novel datasets, environments, and benchmarks to identify capability gaps in current models, publish academic papers, and post-train models to push the SOTA while staying grounded to the demonstrated needs of our healthcare partners.</p><p style=\"min-height:1.5em\"><strong>Note: </strong>This is a full-time role, required to be in-person in SF.</p><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>What You’ll Do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows</p></li><li><p style=\"min-height:1.5em\">Provide domain expertise and medical knowledge to help shape our research directions and deliverables</p></li><li><p style=\"min-height:1.5em\">Write and publish papers in academic conferences</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Who You Are</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Must have one of the following medical degrees: MD, DO, MBBS, NP, RN, or PA</strong></p></li><li><p style=\"min-height:1.5em\">1+ years of experience working in a<strong> real clinical environment</strong> (clinical rotations are OK)</p></li><li><p style=\"min-height:1.5em\">Proficient in Python and JavaScript</p></li><li><p style=\"min-height:1.5em\">Intermediate software engineering skills (i.e. not just Claude Code) - strong experience with Github, CI/CD, AWS</p></li><li><p style=\"min-height:1.5em\">Familiar with best practices around RLEs, benchmarks, evals, and post-training</p></li><li><p style=\"min-height:1.5em\">Understanding of healthcare data standards (e.g., EHR data structures, interoperability, HIPAA considerations)</p></li><li><p style=\"min-height:1.5em\">Strong interest in AI and machine learning applications</p></li><li><p style=\"min-height:1.5em\">Experience with clinical workflow analysis, quality improvement initiatives, or digital health product development</p></li></ul><div style=\"min-height:1.2em;margin-top:0;margin-bottom:0\"> </div><h2>Why Us</h2><p style=\"min-height:1.5em\">If you join our team, you will be joining a team with...</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Founding-level impact and ownership</p></li><li><p style=\"min-height:1.5em\">An opportunity to advance AI research in one of its most meaningful application areas</p></li><li><p style=\"min-height:1.5em\">Competitive compensation and meaningful equity</p></li><li><p style=\"min-height:1.5em\">Unlimited PTO</p></li><li><p style=\"min-height:1.5em\">Comprehensive health, dental, and vision coverage</p></li><li><p style=\"min-height:1.5em\">401(k)</p></li><li><p style=\"min-height:1.5em\">Free lunch + dinner</p></li></ul>","descriptionPlain":"Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.\n\nWe spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.\n\n \n\n\nTHE ROLE\n\nAs a Clinical AI Research Scientist, you’ll help drive our research agenda towards advancing AI model capabilities on real-world healthcare tasks. You'll help build novel datasets, environments, and benchmarks to identify capability gaps in current models, publish academic papers, and post-train models to push the SOTA while staying grounded to the demonstrated needs of our healthcare partners.\n\nNote: This is a full-time role, required to be in-person in SF.\n\n \n\n\nWHAT YOU’LL DO\n\n - Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows\n\n - Provide domain expertise and medical knowledge to help shape our research directions and deliverables\n\n - Write and publish papers in academic conferences\n\n \n\n\nWHO YOU ARE\n\n - Must have one of the following medical degrees: MD, DO, MBBS, NP, RN, or PA\n\n - 1+ years of experience working in a real clinical environment (clinical rotations are OK)\n\n - Proficient in Python and JavaScript\n\n - Intermediate software engineering skills (i.e. not just Claude Code) - strong experience with Github, CI/CD, AWS\n\n - Familiar with best practices around RLEs, benchmarks, evals, and post-training\n\n - Understanding of healthcare data standards (e.g., EHR data structures, interoperability, HIPAA considerations)\n\n - Strong interest in AI and machine learning applications\n\n - Experience with clinical workflow analysis, quality improvement initiatives, or digital health product development\n\n \n\n\nWHY US\n\nIf you join our team, you will be joining a team with...\n\n - Founding-level impact and ownership\n\n - An opportunity to advance AI research in one of its most meaningful application areas\n\n - Competitive compensation and meaningful equity\n\n - Unlimited PTO\n\n - Comprehensive health, dental, and vision coverage\n\n - 401(k)\n\n - Free lunch + dinner"}],"apiVersion":"1"}