Toronto CoworkingUSAgreenhouse2026-08-21
Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights experience with LLMs and translating research into production systems. Responsibilities are heavily weighted towar…
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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
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United StatesUSAgreenhouse2026-08-21
Warum echter KI-Job: The role is explicitly focused on building and deploying machine learning models for core Airbnb products (search and recommendations). The description details work with data pipelines, feature engineering, model innovation, serving, experimentation, and ment…
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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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-08-12
Warum echter KI-Job: The role is explicitly focused on building and leading the development of core machine learning models for user understanding, leveraging LLMs and foundation models. The job description heavily emphasizes ML techniques and their application to a central produ…
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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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-08-12
Warum echter KI-Job: The role is explicitly focused on building and leading the development of large-scale machine learning models for Reddit's recommendation systems. The job description heavily emphasizes ML architecture, strategy, research, and deployment in production.
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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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-08-06
Warum echter KI-Job: The role is explicitly focused on building and evaluating ranking/recommendation systems, defining relevance metrics, and conducting experiments to improve content quality and user experience. The responsibilities and required qualifications heavily emphasize…
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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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-08-06
Warum echter KI-Job: The role is explicitly focused on building and evaluating ranking/recommendation systems, defining relevance metrics, and conducting experiments to improve content quality and user experience. The responsibilities and required qualifications heavily emphasize…
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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San FranciscoUSAgreenhouse2026-08-04
Warum echter KI-Job: The role is fundamentally focused on building and improving machine learning models for ranking, recommendations, and search. The description explicitly mentions core AI/ML concepts and techniques (multi-task learning, causal inference, LLMs) as central to th…
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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New York, NYSwedenPermanentlever2026-07-28
Warum echter KI-Job: The role explicitly focuses on building and improving machine learning models for personalization, directly impacting core Spotify features. The description highlights work at the intersection of ML, music understanding, and user experience.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep…
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Remote - CaliforniaUSAgreenhouse2026-07-14
Warum echter KI-Job: The role explicitly focuses on building and deploying ML models for personalized learning, including recommendation systems, skill inference, and knowledge graph construction. LLM experience is a requirement. The entire job description revolves around AI/ML a…
CSQ227R13 Applied AI Engineer, Learning Intelligence About the Role We are building the intelligence layer that powers how learners grow. This role sits at the intersection of machine learning, knowledge representation, and product engineering. You will own the skill and concept graph that defines…
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United StatesUSAgreenhouse2026-07-13
Warum echter KI-Job: The role explicitly focuses on building and shipping machine learning models for personalization, recommendation systems, and intent modeling. It requires deep expertise in ML algorithms and the full ML lifecycle. LLMs are specifically mentioned as a plus 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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