Experimentation Jobs – Page 3

Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models for forecasting and scenario planning in advertising. The job description details tasks directly related to model development, evaluation, and productionization. The core responsibi…

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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Why this is a real AI job: The role explicitly focuses on leading ML engineering teams and driving the strategy for ML-heavy systems (benefit recommendation, personalization, customer lifetime value forecasting). The description emphasizes building AI-native practices and owning MLOps.…

The CVO Tribe CVO owns two of HelloFresh's largest economic levers: benefit optimization and pricing . The tribe uses machine learning, personalization, and lifetime-value prediction to replace manual, rules-based decisioning with data-driven systems. The engineering org is globally distributed acr…

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Why this is a real AI 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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Why this is a real AI 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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Why this is a real AI 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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Why this is a real AI 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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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…

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Why this is a real AI 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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Why this is a real AI 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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Why this is a real AI 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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