Machine Learning Engineer – Page 8

Why this is a real AI job: The role explicitly focuses on developing and deploying machine learning models for real-time inventory understanding. The job description highlights the core responsibilities around the entire ML lifecycle, from data exploration to production deployment.

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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Why this is a real AI job: The role explicitly focuses on developing and deploying machine learning models for a core business problem (inventory management). The job description heavily emphasizes ML lifecycle ownership, model building, and integration into production systems. It's a…

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…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on building and deploying AI-powered computer vision systems as a core product offering. The job description details tasks directly related to model development, optimization, and production deployment.

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…

Details Open source / apply

Why this is a real AI job: The role explicitly focuses on developing and launching machine learning models for core business functions like recommendations. The job description heavily emphasizes ML workflows, model building, and data analysis. The required experience clearly points to…

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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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying ML models across multiple business-critical areas. The description highlights a strong emphasis on applied ML, model ownership, and collaboration with data scientists to solve complex problems…

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. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic env…

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Why this is a real AI job: The role explicitly focuses on building and deploying AI agents using LLMs for safety and customer care applications. The job description details tasks like fine-tuning models, building agent frameworks, and creating evaluation pipelines – all core AI activit…

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. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's pr…

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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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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights the use of ML to solve core business problems and improve the ride-sharing platform. The required experience stron…

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…

Details Open source / apply

Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights the use of ML to solve core business problems and improve the ride-sharing platform. The required experience stron…

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…

Details Open source / apply

Why this is a real AI job: The role explicitly focuses on building and deploying production ML systems across various areas of the Reddit platform, including recommendations, search, advertising, and content understanding. The job description heavily emphasizes ML algorithms, model bui…

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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