London, UKUSAFullTimeashby2026-07-08
Why this is a real AI job: The role explicitly focuses on applying data science and AI/ML techniques to measure and improve the safety of OpenAI's platforms. Tasks include developing AI-first methods for prevalence measurement, optimizing LLM prompts, and building productionized safety…
The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against f…
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Remote - CanadaUSAgreenhouse2026-06-26
Why this is a real AI job: The job description explicitly focuses on driving AI for Analytics, deploying AI systems in production, and improving product features with data science methods. The candidate is expected to have deep engagement with AI workflows and build/deploy ML models.
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless o…
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San FranciscoUSAFullTimeashby2026-06-25
Why this is a real AI job: The role explicitly focuses on ML infrastructure, LLMs, and supporting customers using a platform built for scalable machine learning. The required experience includes developing data pipelines for training and serving LLMs and optimizing distributed ML workl…
About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of li…
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San FranciscoUSAFullTimeashby2026-06-17
Why this is a real AI job: The role explicitly focuses on building and deploying AI-powered systems for fraud and abuse detection, utilizing LLMs (GPT-5) and other AI techniques. The core responsibilities revolve around data science and machine learning to solve AI safety problems.
About the Team The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon. Our customers build fast-…
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San FranciscoUSAFullTimeashby2026-06-16
Why this is a real AI job: The role explicitly focuses on leading a data science team to optimize revenue, pricing, and subscription systems using experimentation and causal inference. The core responsibilities are deeply rooted in data science and its application to financial engineer…
About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to…
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San FranciscoUSAFullTimeashby2026-06-16
Why this is a real AI job: The role explicitly focuses on building and owning models, performing causal inference, and creating data products – all core AI/ML activities. The position is within the Strategic Finance team, but the work is heavily data science and model-driven, not just…
About the Team The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-function…
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San FranciscoUSAFullTimeashby2026-05-26
Why this is a real AI job: Die Rolle beinhaltet tiefgehende Arbeit mit LLMs zur Klassifizierung von Support-Daten, die Entwicklung von Dashboards, die Zusammenarbeit mit Data Science und Engineering sowie die Implementierung von Modellen und Pipelines. KI ist ein zentraler und überwieg…
About the Team The User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely…
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Remote - CaliforniaUSAgreenhouse2026-05-26
Why this is a real AI job: Die Rolle beinhaltet hands-on Entwicklung und Deployment von AI-Lösungen, inklusive Prompt Engineering, RAG-Pipelines, Agent-Orchestrierung und Evaluation-Frameworks. Der Kandidat muss end-to-end AI-Systeme gebaut haben und ist direkt für die Architektur und…
CSQ227R245 Strategy and Execution Manager, GTM The Strategy & Execution Manager is responsible for operationalizing Services and Enablement strategy using AI. You will lead the optimization of programs, financial planning, and cross-functional initiatives to scale the business for continued hyper-g…
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New York, NY (HQ)USAFullTimeashby2026-08-25
Why this is a real AI job: The role explicitly focuses on building data products, driving insights, and improving decision-making through data analysis. The description highlights model development, experimental design, and working with large datasets – all core Data Science activities.
ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing book…
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New York, NY (HQ)USAFullTimeashby2026-08-25
Why this is a real AI job: The role explicitly requires building models to transform and expose data, driving experimental design, and generating actionable insights. The focus on financial metrics combined with strong AI proficiency indicates a core application of Data Science princip…
ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing book…
Details Open source / apply