Seattle OfficeUSAgreenhouse2026-08-25
Why this is a real AI job: The role explicitly focuses on leading technical initiatives in machine learning, algorithm development, and production deployment of ML models. Responsibilities are overwhelmingly centered around building and scaling AI-powered solutions.
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. Data Scientists at Lyft operate in dynamic environments, movi…
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Seattle OfficeUSAgreenhouse2026-08-25
Why this is a real AI job: The role explicitly focuses on leading ML initiatives, building production models, and driving algorithmic innovation. Responsibilities are overwhelmingly centered around data science tasks.
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. Data Scientists at Lyft operate in dynamic environments, movi…
Details Open source / apply
Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-08-25
Why this is a real AI job: The role explicitly focuses on designing and implementing machine learning systems for auction, bidding, and budgeting – core AI/ML tasks. The job description heavily emphasizes optimization algorithms, data processing, and model deployment.
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 StatesUSAgreenhouse2026-08-25
Why this is a real AI job: The role is explicitly focused on building and operating machine learning platforms for Ads ML. The job description details tasks directly related to the entire ML lifecycle (experimentation, training, deployment, evaluation) and agentic AI frameworks.
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 StatesUSAgreenhouse2026-08-25
Why this is a real AI job: The role explicitly focuses on developing and applying data science solutions to improve the advertising platform, including ML models for prediction, anomaly detection, and pattern recognition. The responsibilities are heavily centered around core AI/ML task…
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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Toronto, ON, CanadaGermanygreenhouse2026-08-25
Why this is a real AI job: The role is explicitly focused on building and operating the core ML systems for menu personalization, owning the entire stack from feature pipelines to model serving. The description emphasizes technical leadership in ML and data engineering, with a strong f…
About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. N…
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Toronto, ON, CanadaGermanygreenhouse2026-08-25
Why this is a real AI job: The role is explicitly focused on building and operating the ML systems behind menu personalization, owning the entire stack from feature pipelines to model serving. The description emphasizes a deep understanding of ML principles and hands-on experience with…
About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. N…
Details Open source / apply
Toronto, ON, CanadaGermanygreenhouse2026-08-25
Why this is a real AI job: The role is explicitly focused on building and operating production ML systems for menu personalization. The description emphasizes ownership of the entire ML stack, from feature pipelines to model serving and experimentation. Strong focus on data science and…
About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. N…
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HelloFresh · Warszawa, Masovian Voivodeship, Poland
95/100
Warszawa, Masovian Voivodeship, PolandGermanygreenhouse2026-08-25
Why this is a real AI job: The role explicitly focuses on building and deploying reinforcement learning models (contextual bandits) for optimizing communication channels and personalizing user experiences. The job description details tasks like model building, experimentation, producti…
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & s…
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United StatesUSAgreenhouse2026-08-25
Why this is a real AI job: The role is explicitly focused on building and improving machine learning models for query understanding, search relevance, and personalization. The description highlights the use of cutting-edge AI technologies like LLMs and NLP.
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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