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10 results on this page. 1385 results in total. More results are available via pagination, company pages, skill pages and job detail pages.
Databricks · London, United Kingdom
Why this is a real AI job: The role explicitly requires hands-on experience in Data Science, Machine Learning, Deep Learning, Generative AI and MLOps for LLMs. The job focuses on architecting end-to-end data and AI solutions using Databricks' platform.
JOB ID: FEQ227R117 Location: London, United Kingdom Industry: Professional Business Services (Consultancy, Legal, etc) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes d…
Anthropic · San Francisco, CA
Why this is a real AI job: The role is explicitly focused on applying data science to improve developer productivity *specifically* within the context of building and using AI systems (LLMs). The description highlights analyzing AI-augmented development workflows and tooling. The prefe…
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…
Anthropic · Tokyo, Japan
Why this is a real AI job: The role explicitly focuses on developing and implementing LLM solutions for clients, advising on architecture and integration of Claude (an LLM), building prototypes, and driving technical decision-making around AI systems. Strong emphasis on productionizing…
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…
Anthropic · San Francisco, CA
Why this is a real AI job: The role is explicitly focused on data science within an AI company (Anthropic) building and deploying frontier AI. Responsibilities center around deriving insights from product & user data to improve AI products, strategy, and operations using advanced stati…
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…
OpenAI · San Francisco
Why this is a real AI job: The role is explicitly focused on building analytical foundations, models and experiments *for pricing* at a company whose core business IS AI. The job requires deep quantitative skills to solve complex pricing problems directly tied to product usage and reve…
About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-lev…
OpenAI · San Francisco
Why this is a real AI job: The role is explicitly focused on building measurement and insight foundations for an ads platform, requiring deep expertise in data science techniques (causal inference, experimentation, forecasting) to optimize advertiser performance and demand strategy. Th…
About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leader…
OpenAI · San Francisco
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models (propensity, LTV) to drive business metrics within an ads platform. The job description heavily emphasizes data science techniques for growth analytics, targeting, segmentation, and…
About the Role OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting. You will work directly with the SMB Ads M…
OpenAI · San Francisco
Why this is a real AI job: The role is deeply embedded in enabling integrations with OpenAI's core AI products (ChatGPT, Codex) and focuses on agent enablement. The tasks involve building, validating, launching, and operating these integrations, requiring a strong understanding of AI c…
About the team The Agent Enablement Applied AI Engineering team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth…
OpenAI · San Francisco
Why this is a real AI job: The role is explicitly focused on defining metrics, building analytical frameworks, and driving improvements through experimentation within a core product area (Identity). The emphasis on causal inference and product data science strongly indicates a core AI/…
ABOUT THE TEAM OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through our products and builds the systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale. Identity sits at the critical intersection of growt…
OpenAI · San Francisco
Why this is a real AI job: The role explicitly focuses on building datasets, metrics, and models to optimize infrastructure supporting AI products and research. The candidate will be a core partner to AI-focused teams.
About the Team Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-wor…