causal inference Jobs – Seite 4

Warum echter KI-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…

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Warum echter KI-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…

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Warum echter KI-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…

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Warum echter KI-Job: The role explicitly focuses on building and deploying ML/optimization models to directly impact Lyft's core business (pricing, incentives, resource allocation). The responsibilities are heavily centered around the full model lifecycle and mathematical problem…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is es…

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Warum echter KI-Job: The role explicitly focuses on applying advanced causal inference and measurement techniques to quantify the impact of new product features. Responsibilities center around building production-grade causal models and establishing evaluation frameworks, indicat…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders…

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Warum echter KI-Job: The role explicitly focuses on applying advanced causal inference and measurement techniques to quantify the impact of new product features. The responsibilities center around building production-grade causal models and evaluation frameworks, indicating a cor…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders…

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Warum echter KI-Job: The role explicitly focuses on building and deploying data-driven models, conducting causal analysis, and leveraging machine learning techniques to improve Airbnb's marketplace and products. The job description highlights the direct impact of data science on…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

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Warum echter KI-Job: The role is explicitly focused on researching, implementing, and applying advanced statistical methods for experimentation at scale. The job description heavily emphasizes data science techniques and their direct application to business problems.

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opp…

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Warum echter KI-Job: The role explicitly focuses on applying data science and causal inference to drive business decisions within a core product area (Partnership, Loyalty & Pay). Responsibilities heavily emphasize building models, designing experiments, and measuring impact – al…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. As a member of the Science team, you will work in a dynamic e…

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Warum echter KI-Job: The role explicitly focuses on applying data science and causal inference techniques to drive business decisions within the Partnership, Loyalty & Pay teams. Responsibilities heavily emphasize modeling, experimentation, and measurement – core AI/ML activities.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. As a member of the Science team, you will work in a dynamic e…

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