Researcher, Health AI Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Researcher, Health AI Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Researcher, Health AI Careers at OpenAI - San Francisco, CA | Apply Now!
Role Overview
Join OpenAI's Safety Systems team as a Researcher, Health AI in San Francisco, California. This senior-level role focuses on advancing AI safety in healthcare, ensuring models are robust, reliable, and beneficial for global health outcomes. You'll work at the intersection of AI alignment research and medical applications, developing techniques like RLHF, automated red teaming, and scalable oversight to create trustworthy AI for medical professionals and patients.
OpenAI's charter emphasizes universal AI benefits, and our Health AI team drives high-quality medical information access worldwide. Based in San Francisco with a hybrid model (3 days in-office), this position offers relocation support. Ideal for PhD-level researchers with 4+ years in deep learning and LLMs, passionate about safe AGI.
Key challenges include evaluating models on health data, mitigating risks, and integrating safety into product launches. Thrive if you're goal-oriented, collaborative, and ready for high-impact, unglamorous work.
Key Responsibilities
- Design practical, scalable safety methods like RLHF and red teaming for healthcare AI models.
- Evaluate techniques using health datasets for accuracy and trustworthiness.
- Build reusable libraries for alignment across OpenAI's model ecosystem.
- Proactively identify risks in model behavior and systems.
- Collaborate with stakeholders to embed safety in training and deployments.
- Research generalizations toward safe AGI from health applications.
- Improve model reasoning for medical scenarios.
- Analyze performance in providing reliable medical info.
- Contribute to product launches with enhanced safety features.
- Own end-to-end problem-solving in AI safety.
- Stay updated on health AI deployments and risks.
- Participate in cross-team initiatives for universal AI benefits.
- Develop tools for automated health AI oversight.
Qualifications
- Ph.D. in CS, AI, ML, or related field.
- 4+ years deep learning/LLM research, esp. alignment (RLHF, red teaming).
- Passion for AI safety and global health.
- Goal-oriented, pragmatic approach to high-value work.
- Experience deploying practical model improvements.
- End-to-end ownership and rapid learning.
- Collaborative team player.
- Bonus: Health AI experience.
- Alignment with OpenAI's AGI mission.
- Expertise in Python, PyTorch, scalable ML systems.
- Strong risk assessment skills in AI.
Salary & Benefits
Salary range: $275,000 - $425,000 USD yearly, based on experience (total comp includes equity). Benefits include comprehensive health coverage, 401(k) match, unlimited PTO, parental leave, relocation assistance, catered meals, gym, wellness programs, and professional development stipends. Hybrid SF model supports work-life balance in a mission-driven environment.
Why Join OpenAI?
OpenAI leads AI research for humanity's benefit, pushing boundaries in safe deployment. Work with world-class talent on Health AI safety, impacting billions. Our culture values diverse perspectives, collaboration, and bold innovation. San Francisco HQ offers vibrant tech ecosystem, with hybrid flexibility and top-tier perks. Contribute to AGI that's safe and equitable—your work here shapes the future.
From charter-driven missions to real-world products, join a team ensuring AI enhances healthcare universally. High ownership, rapid iteration, and global impact await.
How to Apply
Submit your resume, cover letter highlighting AI safety/health experience, and links to publications/projects via OpenAI careers page. We review applications continuously; top candidates advance to interviews (technical, behavioral, research deep-dives). Equal opportunity employer committed to diversity.
Locations
- San Francisco, California, United States
Salary
288,750 - 467,500 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep Learning Researchintermediate
- Large Language Models (LLMs)intermediate
- Reinforcement Learning from Human Feedback (RLHF)intermediate
- Automated Red Teamingintermediate
- Scalable Oversightintermediate
- AI Safety Techniquesintermediate
- Healthcare AI Applicationsintermediate
- Model Alignmentintermediate
- Python Programmingintermediate
- PyTorch/TensorFlowintermediate
- Machine Learning Deploymentintermediate
- Risk Assessment in AIintermediate
- Cross-Functional Collaborationintermediate
- Data Evaluation in Health Domainsintermediate
- Reusable Library Developmentintermediate
- AGI Safety Researchintermediate
- Medical AI Model Trainingintermediate
- Ethical AI Developmentintermediate
- Model Reliability Testingintermediate
- Stakeholder Integrationintermediate
Required Qualifications
- 4+ years of experience with deep learning research and LLMs, focusing on practical alignment topics like RLHF, automated red teaming, and scalable oversight (experience)
- Ph.D. or equivalent degree in computer science, AI, machine learning, or a related field (experience)
- Strong passion for AI safety and improving global health outcomes (experience)
- Alignment with OpenAI’s mission and charter for universally beneficial AGI (experience)
- Goal-oriented mindset, prioritizing high-value work over glamorous methods (experience)
- Proven experience in making practical improvements for AI model deployment (experience)
- Ability to own problems end-to-end and rapidly acquire missing knowledge (experience)
- Team player thriving in collaborative environments (experience)
- Experience designing scalable methods to enhance model safety and reliability (experience)
- Familiarity with evaluating AI models using health-related data (experience)
- Bonus: Direct experience in health-related AI research or deployments (experience)
- Strong understanding of AI risks in healthcare applications (experience)
Responsibilities
- Design and implement practical, scalable methods to improve AI model safety and reliability, including RLHF, automated red teaming, and scalable oversight
- Evaluate alignment and safety methods using diverse health-related datasets to ensure accurate, reliable outputs
- Develop and maintain reusable libraries for applying general alignment techniques across OpenAI models
- Proactively assess and identify safety risks in AI models and systems, particularly in healthcare contexts
- Collaborate with cross-team stakeholders to integrate safety improvements into core model training pipelines
- Launch safety enhancements directly into OpenAI’s products for real-world healthcare applications
- Conduct research at the intersection of AI safety and healthcare to build trustworthy models
- Improve model behavior, knowledge, and reasoning specifically for medical professional assistance
- Generalize safety techniques towards safe and beneficial AGI development
- Analyze model performance in providing high-quality medical information universally
- Participate in hybrid work model with 3 days in-office in San Francisco
- Contribute to OpenAI’s charter goals of widely distributing AI benefits
- Build tools for automated evaluation of health AI reliability and trustworthiness
Benefits
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance coverage
- general: Hybrid work model: 3 days in-office per week with flexibility
- general: Full relocation assistance for new employees moving to San Francisco
- general: Generous paid time off and flexible vacation policy
- general: Parental leave and family-friendly benefits
- general: 401(k) retirement plan with company matching
- general: Professional development stipend for conferences and courses
- general: On-site fitness facilities and wellness programs
- general: Catered meals, snacks, and beverages daily
- general: Mental health support and employee assistance programs
- general: Opportunity to work on cutting-edge AGI safety research
- general: Collaborative, mission-driven culture with top talent
Tags & Categories
Answer 10 quick questions to check your fit for Researcher, Health AI Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs
Researcher, Health AI Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
Researcher, Health AI Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
Researcher, Health AI Careers at OpenAI - San Francisco, CA | Apply Now!
Role Overview
Join OpenAI's Safety Systems team as a Researcher, Health AI in San Francisco, California. This senior-level role focuses on advancing AI safety in healthcare, ensuring models are robust, reliable, and beneficial for global health outcomes. You'll work at the intersection of AI alignment research and medical applications, developing techniques like RLHF, automated red teaming, and scalable oversight to create trustworthy AI for medical professionals and patients.
OpenAI's charter emphasizes universal AI benefits, and our Health AI team drives high-quality medical information access worldwide. Based in San Francisco with a hybrid model (3 days in-office), this position offers relocation support. Ideal for PhD-level researchers with 4+ years in deep learning and LLMs, passionate about safe AGI.
Key challenges include evaluating models on health data, mitigating risks, and integrating safety into product launches. Thrive if you're goal-oriented, collaborative, and ready for high-impact, unglamorous work.
Key Responsibilities
- Design practical, scalable safety methods like RLHF and red teaming for healthcare AI models.
- Evaluate techniques using health datasets for accuracy and trustworthiness.
- Build reusable libraries for alignment across OpenAI's model ecosystem.
- Proactively identify risks in model behavior and systems.
- Collaborate with stakeholders to embed safety in training and deployments.
- Research generalizations toward safe AGI from health applications.
- Improve model reasoning for medical scenarios.
- Analyze performance in providing reliable medical info.
- Contribute to product launches with enhanced safety features.
- Own end-to-end problem-solving in AI safety.
- Stay updated on health AI deployments and risks.
- Participate in cross-team initiatives for universal AI benefits.
- Develop tools for automated health AI oversight.
Qualifications
- Ph.D. in CS, AI, ML, or related field.
- 4+ years deep learning/LLM research, esp. alignment (RLHF, red teaming).
- Passion for AI safety and global health.
- Goal-oriented, pragmatic approach to high-value work.
- Experience deploying practical model improvements.
- End-to-end ownership and rapid learning.
- Collaborative team player.
- Bonus: Health AI experience.
- Alignment with OpenAI's AGI mission.
- Expertise in Python, PyTorch, scalable ML systems.
- Strong risk assessment skills in AI.
Salary & Benefits
Salary range: $275,000 - $425,000 USD yearly, based on experience (total comp includes equity). Benefits include comprehensive health coverage, 401(k) match, unlimited PTO, parental leave, relocation assistance, catered meals, gym, wellness programs, and professional development stipends. Hybrid SF model supports work-life balance in a mission-driven environment.
Why Join OpenAI?
OpenAI leads AI research for humanity's benefit, pushing boundaries in safe deployment. Work with world-class talent on Health AI safety, impacting billions. Our culture values diverse perspectives, collaboration, and bold innovation. San Francisco HQ offers vibrant tech ecosystem, with hybrid flexibility and top-tier perks. Contribute to AGI that's safe and equitable—your work here shapes the future.
From charter-driven missions to real-world products, join a team ensuring AI enhances healthcare universally. High ownership, rapid iteration, and global impact await.
How to Apply
Submit your resume, cover letter highlighting AI safety/health experience, and links to publications/projects via OpenAI careers page. We review applications continuously; top candidates advance to interviews (technical, behavioral, research deep-dives). Equal opportunity employer committed to diversity.
Locations
- San Francisco, California, United States
Salary
288,750 - 467,500 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep Learning Researchintermediate
- Large Language Models (LLMs)intermediate
- Reinforcement Learning from Human Feedback (RLHF)intermediate
- Automated Red Teamingintermediate
- Scalable Oversightintermediate
- AI Safety Techniquesintermediate
- Healthcare AI Applicationsintermediate
- Model Alignmentintermediate
- Python Programmingintermediate
- PyTorch/TensorFlowintermediate
- Machine Learning Deploymentintermediate
- Risk Assessment in AIintermediate
- Cross-Functional Collaborationintermediate
- Data Evaluation in Health Domainsintermediate
- Reusable Library Developmentintermediate
- AGI Safety Researchintermediate
- Medical AI Model Trainingintermediate
- Ethical AI Developmentintermediate
- Model Reliability Testingintermediate
- Stakeholder Integrationintermediate
Required Qualifications
- 4+ years of experience with deep learning research and LLMs, focusing on practical alignment topics like RLHF, automated red teaming, and scalable oversight (experience)
- Ph.D. or equivalent degree in computer science, AI, machine learning, or a related field (experience)
- Strong passion for AI safety and improving global health outcomes (experience)
- Alignment with OpenAI’s mission and charter for universally beneficial AGI (experience)
- Goal-oriented mindset, prioritizing high-value work over glamorous methods (experience)
- Proven experience in making practical improvements for AI model deployment (experience)
- Ability to own problems end-to-end and rapidly acquire missing knowledge (experience)
- Team player thriving in collaborative environments (experience)
- Experience designing scalable methods to enhance model safety and reliability (experience)
- Familiarity with evaluating AI models using health-related data (experience)
- Bonus: Direct experience in health-related AI research or deployments (experience)
- Strong understanding of AI risks in healthcare applications (experience)
Responsibilities
- Design and implement practical, scalable methods to improve AI model safety and reliability, including RLHF, automated red teaming, and scalable oversight
- Evaluate alignment and safety methods using diverse health-related datasets to ensure accurate, reliable outputs
- Develop and maintain reusable libraries for applying general alignment techniques across OpenAI models
- Proactively assess and identify safety risks in AI models and systems, particularly in healthcare contexts
- Collaborate with cross-team stakeholders to integrate safety improvements into core model training pipelines
- Launch safety enhancements directly into OpenAI’s products for real-world healthcare applications
- Conduct research at the intersection of AI safety and healthcare to build trustworthy models
- Improve model behavior, knowledge, and reasoning specifically for medical professional assistance
- Generalize safety techniques towards safe and beneficial AGI development
- Analyze model performance in providing high-quality medical information universally
- Participate in hybrid work model with 3 days in-office in San Francisco
- Contribute to OpenAI’s charter goals of widely distributing AI benefits
- Build tools for automated evaluation of health AI reliability and trustworthiness
Benefits
- general: Competitive salary with equity in a high-growth AI company
- general: Comprehensive health, dental, and vision insurance coverage
- general: Hybrid work model: 3 days in-office per week with flexibility
- general: Full relocation assistance for new employees moving to San Francisco
- general: Generous paid time off and flexible vacation policy
- general: Parental leave and family-friendly benefits
- general: 401(k) retirement plan with company matching
- general: Professional development stipend for conferences and courses
- general: On-site fitness facilities and wellness programs
- general: Catered meals, snacks, and beverages daily
- general: Mental health support and employee assistance programs
- general: Opportunity to work on cutting-edge AGI safety research
- general: Collaborative, mission-driven culture with top talent
Tags & Categories
Answer 10 quick questions to check your fit for Researcher, Health AI Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs