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ABOUT RAD AI At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! ABOUT CONTINUITY: Continuity is Rad AI’s care coordination and follow-up product, helping radiology teams make sure important findings do not fall through the cracks. The team builds and operates the applications, APIs, and integrations that turn clinical data into actionable workflows for customers, with a strong emphasis on reliability, scalability, and operational excellence in a sensitive healthcare environment. This work sits at the intersection of product, engineering, implementations, and customer needs, and is central to helping Rad AI deliver measurable value for health systems and radiology practices. WHY JOIN US: We’re seeking a Staff Software Engineer to join our team building the future of radiology. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, Product Leaders, and various other teams internally and externally to develop this responsive and performant application. WHAT YOU'LL BE DOING: - Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness - Develop our Python, FastAPI backend services including a REST API and ML pipeline services - Build new features that support our rapidly growing number of customers - Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment - Work with Product Management, ML, Data Science, Customer Success and other stakeholders to iterate on new features and address defects - Advocate for improvements to product quality, security, and performance that have impact across your team - Mentor engineers on the team through technical guidance, code reviews, design collaboration, and development of strong engineering practices. WHO WE'RE LOOKING FOR: - 7+ years of industry engineering experience with single and multi-tenanted environments - In-depth knowledge of Python and FastAPI, or equivalent modern languages/frameworks - Knowledge of relational and document based databases, as well as other large scale data storage paradigms - Knowledge of modern web architecture and best practices - Experience with unit and integration testing - Experience working on a distributed team and strong version control skills using git - Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems - Experience using AI-assisted development tools and workflows to improve engineering productivity, while maintaining high standards for code quality, reliability, and security. NICE TO HAVES: - Experience with PostgreSQL - Experience with 3rd-party integrations such as Auth0, Amplitude - Experience working at an early-stage startup - Experience in a HIPAA-compliant environment, especially with FHIR and HL7 - Experience working on machine learning Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date! For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: - Comprehensive Medical, Dental, Vision & Life insurance - HSA (with employer match), FSA, & DCFSA - 401(k) - 11 Paid Company Holidays - Flexible PTO policy - Annual company-wide offsite - Periodic team offsites - Annual equipment stipend - For roles based outside the US, your recruiter can share more details At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

54 days ago

Machine Learning Research Manager

Rad AI · San Francisco, California, United States

Pay

$135k–280k

Setting

Remote

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ABOUT RAD AI At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! WHY JOIN US? We’re looking for a Machine Learning Research Manager to lead a dedicated, high-impact team of applied and clinical researchers working at the intersection of clinical AI, language modeling, and radiology. This is a player-coach role for someone who loves developing people, setting technical direction, and staying hands on and being close to the work. You’ll help shape how our research organization scales while partnering deeply with clinicians, engineers, and product leaders to bring high-value ideas into production. WHAT YOU’LL BE DOING - Directly manage and mentor a small team of applied and clinical researchers, helping them grow in scope, judgment, execution, and communication - Drive research productivity by clarifying priorities, unblocking work, and creating a high-trust, high-accountability team environment - Stay close to the technical work as a player-coach by guiding problem framing, experimental design, evaluation strategy, and tradeoff decisions across multiple research efforts - Partner closely with radiologists, clinical experts, engineers, and product leaders to identify the highest-leverage research opportunities and translate them into production-scale systems - Help the team build and evaluate advanced NLP and reasoning systems that work with clinical text, diagnostic criteria, reporting workflows, and other healthcare data - Create strong cross-functional working rhythms with engineering, product, and clinical partners so research outputs are practical, trustworthy, and deployable - Raise the bar on research quality, reproducibility, and communication across the team - Stay current on relevant machine learning advances and help the team thoughtfully integrate new methods when they materially improve customer and clinical outcomes WHO WE’RE LOOKING FOR - MS or PhD in Computer Science, Machine Learning, Computational Linguistics, Biomedical Informatics, or a related quantitative field, or equivalent practical experience - 6+ years of applied ML research experience, with a track record of taking work from idea to production impact - Prior people management experience, or clear evidence of operating as a de facto team lead for multi-person research efforts, with strong coaching and prioritization skills - Strong background in NLP and modern deep learning, especially transformer-based systems and large language models - Experience applying ML to hard real-world problems where ambiguity, data quality, and operational constraints matter - Strong hands-on experience with modern ML tooling such as PyTorch and common model development workflows - Demonstrated ability to collaborate closely with domain experts and cross-functional stakeholders, especially in environments where trust, iteration speed, and communication quality matter - Excellent written and verbal communication skills, with the ability to guide senior researchers while also aligning non-technical partners around research direction and tradeoffs NICE TO HAVE - Experience working in healthcare, clinical AI, biomedical ML, or other regulated, privacy-sensitive environments - Experience with radiology, clinical documentation, medical terminology, or clinician-facing workflows - Experience deploying LLM or NLP systems in production settings - Experience contributing to research culture through mentorship, technical standards, or organizational leadership - Familiarity with cloud-based ML workflows and modern research infrastructure - Preferably eager to collaborate and work in our new San Francisco office and shape the culture and tone of that space Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date! For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: - Comprehensive Medical, Dental, Vision & Life insurance - HSA (with employer match), FSA, & DCFSA - 401(k) - 11 Paid Company Holidays - Flexible PTO policy - Annual company-wide offsite - Periodic team offsites - Annual equipment stipend - For roles based outside the US, your recruiter can share more details At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

215 days ago

Software Engineer, Infrastructure (All Levels)

Rad AI · San Francisco, California, United States

Pay

$160k–245k

Setting

On-site

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ABOUT RAD AI At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! Why Join Us The Platform Engineering organization at Rad AI builds the foundations that power all of our products—Reporting, Impressions, and Continuity—and enables product teams to ship reliably, safely, and at scale. Within Platform, the Infrastructure team owns our core cloud infrastructure, platforms, and reliability practices. We’re hiring a multiple Infrastructure Engineers to help us design and operate robust, scalable systems. In this role, you’ll contribute to infrastructure architecture, reliability practices, and thoughtful improvements to our workflows. If you’re passionate about building resilient platforms and enjoy collaborating across functions, we’d love to hear from you. This role is for candidates who are excited to work on-site in our growing San Francisco office, located near 2nd and Market. This posting includes multiple open headcount, spanning from Senior to Principal level. What You’ll Be Doing: - Influence the technical direction for infrastructure and platform capabilities that support our rapidly growing AI product suite. - Architect and evolve our cloud infrastructure (primarily on AWS) across container orchestration (Kubernetes, Elastic Container Service), serverless (e.g., Lambda), virtual machines (e.g., EC2), and data stores to support current and future products. - Work closely with Platform leadership, product engineering, data, and ML teams to design systems that are robust, observable, and compliant in a healthcare environment. - Define and drive infrastructure strategy for the Platform org—partnering with engineering leadership to align roadmaps, set standards, and sequence work for maximum business impact. - Secure networking, identity, and access patterns across environments. - Improve reliability and operational excellence by defining SLOs, SLIs, and error budgets for core platform services. - Leading and participating in blameless post-incident reviews and translating learnings into systemic improvements. - Own observability and monitoring strategy across logging, metrics, and tracing, ensuring we can detect, debug, and prevent issues efficiently. - Mentor and level up engineers across Platform and product teams—reviewing design docs, guiding architecture decisions, and modeling high standards for reliability, security, and maintainability. - Partner with security and compliance stakeholders to ensure our infrastructure and operational practices meet HIPAA and other healthcare requirements. - Advocate for and implement developer experience improvements, such as better CI/CD workflows, faster feedback loops, and tooling that reduces cognitive load for product teams. Who We’re Looking For - Bring 4+ years of hands-on infrastructure / platform development experience (or equivalent practical experience) in modern, cloud-native environments, with a track record of owning critical systems in production. - Have deep expertise with AWS (preferred) and/or GCP, including core networking, compute, storage, and managed services. - Are highly proficient in at least one programming/scripting language used for infrastructure work (Python preferred). - Extensive experience building tooling and automation for other engineers. - Have strong experience with Kubernetes, containers (Docker), and container orchestration, and understand how to operate these systems reliably at scale. - Are comfortable with Infrastructure as Code (Terraform preferred, Pulumi, or similar) and Git-based workflows. - Possess solid Linux fundamentals and are comfortable debugging issues at the OS, networking, and application layers. - Have demonstrable experience leading complex, cross-team initiatives from design through rollout—communicating tradeoffs, aligning stakeholders, de-risking launches, and measuring impact. - Communicate clearly and empathetically with both technical and non-technical partners, and enjoy mentoring engineers at multiple levels. - Take a data-informed, pragmatic approach to decision-making—balancing ideal architecture with business needs, delivery timelines, and team capacity. Nice to Haves - Experience in regulated environments (e.g., HIPAA) or prior work in healthcare or health tech. - Background in platform or security engineering, especially around access control, encryption, auditability, and compliance. - Experience working closely with ML / data teams or with ML platforms (e.g., Airflow, Ray, ML pipelines, model serving stacks). - Familiarity with observability stacks (CloudWatch, New Relic, Grafana, OpenTelemetry, etc.). - Experience designing or operating internal developer platforms, SDKs, or reusable frameworks that standardize how services are built and deployed. - Prior experience at a fast-growing startup where you’ve helped scale infrastructure, processes, and teams. Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date! For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: - Comprehensive Medical, Dental, Vision & Life insurance - HSA (with employer match), FSA, & DCFSA - 401(k) - 11 Paid Company Holidays - Flexible PTO policy - Annual company-wide offsite - Periodic team offsites - Annual equipment stipend - For roles based outside the US, your recruiter can share more details At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

223 days ago

Staff Software Engineer, Infrastructure

Rad AI · United States

Pay

$175k–245k

Setting

Remote

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ABOUT RAD AI At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! Why Join Us The Platform Engineering organization at Rad AI builds the foundations that power all of our products—Reporting, Impressions, and Continuity—and enables product teams to ship reliably, safely, and at scale. Within Platform, the Infrastructure team owns our core cloud infrastructure, platforms, and reliability practices. We’re hiring a Staff Software Engineer to help us design and operate robust, scalable systems. In this role, you’ll contribute to infrastructure architecture, reliability practices, and thoughtful improvements to our workflows. If you’re passionate about building resilient platforms and enjoy collaborating across functions, we’d love to hear from you. What You’ll Be Doing: - Influence the technical direction for infrastructure and platform capabilities that support our rapidly growing AI product suite. - Architect and evolve our cloud infrastructure (primarily on AWS) across container orchestration (Kubernetes, Elastic Container Service), serverless (e.g., Lambda), virtual machines (e.g., EC2), and data stores to support current and future products. - Work closely with Platform leadership, product engineering, data, and ML teams to design systems that are robust, observable, and compliant in a healthcare environment. - Define and drive infrastructure strategy for the Platform org—partnering with engineering leadership to align roadmaps, set standards, and sequence work for maximum business impact. - Secure networking, identity, and access patterns across environments. - Improve reliability and operational excellence by defining SLOs, SLIs, and error budgets for core platform services. - Leading and participating in blameless post-incident reviews and translating learnings into systemic improvements. - Own observability and monitoring strategy across logging, metrics, and tracing, ensuring we can detect, debug, and prevent issues efficiently. - Mentor and level up engineers across Platform and product teams—reviewing design docs, guiding architecture decisions, and modeling high standards for reliability, security, and maintainability. - Partner with security and compliance stakeholders to ensure our infrastructure and operational practices meet HIPAA and other healthcare requirements. - Advocate for and implement developer experience improvements, such as better CI/CD workflows, faster feedback loops, and tooling that reduces cognitive load for product teams. Who We’re Looking For - Bring 8+ years of hands-on infrastructure / platform development experience (or equivalent practical experience) in modern, cloud-native environments, with a track record of owning critical systems in production. - Have deep expertise with AWS (preferred) and/or GCP, including core networking, compute, storage, and managed services. - Are highly proficient in at least one programming/scripting language used for infrastructure work (Python preferred). - Extensive experience building tooling and automation for other engineers. - Have strong experience with Kubernetes, containers (Docker), and container orchestration, and understand how to operate these systems reliably at scale. - Are comfortable with Infrastructure as Code (Terraform preferred, Pulumi, or similar) and Git-based workflows. - Possess solid Linux fundamentals and are comfortable debugging issues at the OS, networking, and application layers. - Have demonstrable experience leading complex, cross-team initiatives from design through rollout—communicating tradeoffs, aligning stakeholders, de-risking launches, and measuring impact. - Communicate clearly and empathetically with both technical and non-technical partners, and enjoy mentoring engineers at multiple levels. - Take a data-informed, pragmatic approach to decision-making—balancing ideal architecture with business needs, delivery timelines, and team capacity. Nice to Haves - Experience in regulated environments (e.g., HIPAA) or prior work in healthcare or healthtech. - Background in platform or security engineering, especially around access control, encryption, auditability, and compliance. - Experience working closely with ML / data teams or with ML platforms (e.g., Airflow, Ray, ML pipelines, model serving stacks). - Familiarity with observability stacks (CloudWatch, New Relic, Grafana, OpenTelemetry, etc.). - Experience designing or operating internal developer platforms, SDKs, or reusable frameworks that standardize how services are built and deployed. - Prior experience at a fast-growing startup where you’ve helped scale infrastructure, processes, and teams. Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date! For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: - Comprehensive Medical, Dental, Vision & Life insurance - HSA (with employer match), FSA, & DCFSA - 401(k) - 11 Paid Company Holidays - Flexible PTO policy - Annual company-wide offsite - Periodic team offsites - Annual equipment stipend - For roles based outside the US, your recruiter can share more details At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

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