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672
Results
235
Companies
92.0
Average score
82
Remote
10 results on this page. 672 results in total. More results are available via pagination, company pages, skill pages and job detail pages.
Machine Learning Systems Engineer, Research Tools
Anthropic · New York City, NY, San Francisco, CA
95/100
Why this is a real AI job: The role is explicitly focused on developing and optimizing core components of LLM training pipelines (tokenization, encodings). The responsibilities directly involve ML systems, data processing, and model performance. The company's mission is centered around…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Applied AI Engineer
Anthropic · Sydney, Australia
95/100
Why this is a real AI job: The role is explicitly focused on deploying and advising customers on the use of LLMs, requiring deep technical expertise in LLM implementation, prompt engineering, and evaluation. The responsibilities center around AI products and workflows.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Data Scientist, Safeguards
Anthropic · Remote-Friendly US (Travel Required)
95/100
Why this is a real AI job: The role is explicitly focused on building and scaling a data-driven culture to ensure safe and beneficial AI. The responsibilities center around analyzing user behavior related to safety, defining key metrics for success, and building systems to improve prod…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
People Research Data Scientist, AI Fairness & Bias
OpenAI · San Francisco
95/100
Why this is a real AI job: The role is explicitly focused on AI fairness, bias testing, and evaluation of AI-assisted systems. The job description details extensive work with ML models, data analysis, and building evaluation infrastructure. This is a core AI research and application ro…
ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid,…
Data Scientist, Core Experimentation
OpenAI · Seattle
95/100
Why this is a real AI job: The role is explicitly focused on building and improving OpenAI's core experimentation platform for AI products, requiring deep expertise in statistical rigor, causal inference, and ML experimentation. The tasks are overwhelmingly centered around AI/ML method…
About the Team The Statsig team at OpenAI https://openai.com?utm_source=chatgpt.com builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure…
Data Scientist, Safety
OpenAI · London, UK
95/100
Why this is a real AI job: The role is explicitly focused on building analytical foundations for responsible AI deployment, evaluating and improving safety systems, and quantifying safety risks. The tasks directly involve applying data science and ML techniques to address core AI safet…
About the Team OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protectin…
Data Scientist, Safety
OpenAI · San Francisco
95/100
Why this is a real AI job: The role is explicitly focused on building analytical foundations for responsible AI deployment, evaluating and improving safety classifiers, and quantifying safety risks. The job description heavily emphasizes AI/ML-related tasks and requires expertise in ar…
About the Team OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protectin…
Data Scientist, Preparedness
OpenAI · San Francisco
95/100
Why this is a real AI job: The role is explicitly focused on building, evaluating, and improving mitigations for harms from AI systems. It requires deep technical skills in data science, machine learning, and model evaluation, with a strong emphasis on identifying and addressing risks…
About the Team The Preparedness team is an important part of the Safety Systems https://openai.com/safety/safety-systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework https://openai.com/index/updating-our-preparedness-framework/. Frontier AI models have the potential to benefit al…
Applied AI Engineer, Codex Core Agent
OpenAI · San Francisco
95/100
Why this is a real AI job: The role is explicitly focused on building and improving AI agents (Codex), working directly with LLMs, and turning research into production systems. The tasks described are overwhelmingly centered around AI/ML concepts.
About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the prod…
Data Scientist, Codex
OpenAI · San Francisco
95/100
Why this is a real AI job: The role is explicitly focused on measuring and improving AI developer tools (Codex), running experiments on coding models, and defining metrics related to developer productivity with AI assistance. The core responsibilities are deeply rooted in AI/ML concept…
ABOUT THE TEAM Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible deve…