Entry-level AI jobs – Page 28

Why this is a real AI job: The role explicitly focuses on building and improving core ML models (LLMs, ranking, prediction) for a proactive AI platform. The tasks are heavily centered around AI/ML techniques and their application to enterprise workflows.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

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Why this is a real AI job: The role is explicitly focused on building and operating the ML systems behind menu personalization. The job description details responsibilities around feature pipelines, training workflows, model serving, experimentation, and infrastructure – all core AI/ML…

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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Why this is a real AI job: The role explicitly focuses on building end-to-end ranking algorithms, ML models for product use cases, data pipelines, feature engineering, and model serving. The description highlights the application of cutting-edge AI technologies and collaboration with c…

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 building AI systems to automate and enhance data science workflows. The description heavily emphasizes AI agents, LLMs, and AI-native approaches. The core responsibilities are centered around AI development and deployment.

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actu…

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Why this is a real AI job: The role explicitly focuses on applying and deploying LLMs, building agent architectures, and working with evaluation frameworks. The responsibilities are heavily centered around technical AI work.

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 explicitly focuses on building and researching machine learning models, LLMs, and AI systems for core Instacart products (search, recommendations, ads). The job description details specific AI/ML tasks and technologies.

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 applying advanced causal inference and measurement techniques to quantify the impact of new product features. Responsibilities center around building production-grade causal models and establishing evaluation frameworks, indicat…

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 Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders…

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Why this is a real AI job: The role explicitly focuses on applying advanced causal inference and measurement techniques to quantify the impact of new product features. The responsibilities center around building production-grade causal models and evaluation frameworks, indicating a cor…

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 Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders…

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Why this is a real AI job: The role is explicitly focused on leading and scaling machine learning systems, defining technical strategy for ML across the company, and driving innovation in modeling approaches. The job description heavily emphasizes hands-on experience with ML frameworks…

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team…

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Why this is a real AI job: The role is explicitly focused on leading the design, implementation and scaling of advanced ML systems. The job description details extensive experience with core AI/ML technologies and techniques.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team…

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