DublinGermanygreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on researching, prototyping and shipping machine learning features for MongoDB's core server, query engine and Atlas. The job description details a strong emphasis on ML model development, productionization, and impact measurement.
As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature roll…
Details Open source / apply
Toronto CoworkingUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on designing, building, training, and testing ML models, and converting them into production pipelines. The job description heavily emphasizes ML workflows, data analysis, and practical application of ML research. The candidate req…
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 over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative…
Details Open source / apply
Seattle OfficeUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on constructing and fitting machine learning models, performing data analysis, and implementing algorithms in production. The responsibilities are heavily centered around core data science and ML 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. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and withi…
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Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly requires building and deploying machine learning and optimization models for a core business function (pricing and rider engagement). The responsibilities heavily focus on data science tasks, and the required experience includes a quantita…
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 a dynamic environment, and…
Details Open source / apply
Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-10-29
Why this is a real AI job: The role is explicitly focused on ML research and development, with a strong emphasis on building and deploying ML models. The responsibilities and required experience are heavily centered around AI/ML techniques.
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 over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative…
Details Open source / apply
Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on applying data science and machine learning to core advertising problems like measurement, identity resolution, and predictive modeling. The responsibilities are heavily weighted towards building and improving AI-powered systems.
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 StatesUSAgreenhouse2026-10-29
Why this is a real AI 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 job description heavily emphasizes data science and ML techniq…
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…
Details Open source / apply
United StatesUSAgreenhouse2026-10-29
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…
Details Open source / apply
United StatesUSAgreenhouse2026-10-29
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…
Details Open source / apply
DublinUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on researching, prototyping, and shipping machine learning features for MongoDB's core server, query engine, and Atlas. The job description details a strong emphasis on ML model development, productionization, and impact measuremen…
As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature roll…
Details Open source / apply