United StatesUSAgreenhouse2026-10-30
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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United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building data products using AI and causal inference to understand user behavior, personalize experiences, and drive business impact. The job description highlights the need for expertise in machine learning, data modeling, and…
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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United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on developing and deploying machine learning models for ranking, recommendation, and personalization within Airbnb's marketplace. The job description highlights building scalable data products and modeling pipelines, designing expe…
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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Wayve · Sunnyvale, California USA
95/100
Sunnyvale, California USAUKFullTimeashby2026-10-30
Warum echter KI-Job: The role is explicitly focused on analyzing model performance, improving evaluation metrics, and driving data-driven release decisions for autonomous vehicles. The core responsibilities revolve around ML evaluation, statistical analysis, and improving the AI…
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this…
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Anthropic · Remote-Friendly US (Travel Required)
95/100
Remote-Friendly US (Travel Required)USAgreenhouse2026-10-30
Warum echter KI-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…
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SeattleUSAFullTimeashby2026-10-30
Warum echter KI-Job: The role is fundamentally focused on building and deploying ML-powered systems for experimentation, insights generation, and predictive modeling. It requires deep expertise in ML lifecycle, LLMs, causal inference, and data science. The entire job description…
ABOUT THE TEAM The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams…
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San FranciscoUSAFullTimeashby2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for budget allocation, spend pacing, and marketing optimization. The core responsibilities are deeply rooted in AI/ML techniques.
ABOUT THE TEAM The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments and other OpenAI products worldwide. We work across the full funnel—from awareness and acquisition through activation, retention, and expansion—using experimentation, data science, machine…
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San FranciscoUSAFullTimeashby2026-10-30
Warum echter KI-Job: The role is explicitly focused on building and deploying machine learning models to improve product experiences and business outcomes. The description details tasks such as data preparation, model building, experimentation, and production deployment, all core…
About the Team We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production. About the Ro…
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SeattleUSAFullTimeashby2026-10-30
Warum echter KI-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…
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San FranciscoUSAFullTimeashby2026-10-30
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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