San Francisco, CAUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and deploying AI solutions for robotics, working with foundation models, and developing data pipelines for training and deployment. The job description heavily emphasizes ML, data, and AI concepts.
The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics. Our Robotics team builds the critical infrastructure that empowers the most sophisticated robotic efforts. We are currently seeking a strategic ML…
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Zscaler · Office - Bangalore, India
90/100
Office - Bangalore, IndiaUSAgreenhouse2026-07-21
Why this is a real AI job: The role explicitly focuses on building and maintaining ML pipelines, solving business problems with ML, and has requirements around ML experience. The company is described as 'AI-forward'.
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…
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ParisFranceFull-timelever2026-07-10
Why this is a real AI job: The role explicitly focuses on integrating and deploying Mistral AI's models (LLMs, GenAI) with customer software. The job description highlights collaboration with AI engineers and researchers, and a strong emphasis on technical problem-solving related to AI…
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, produ…
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New York, NYSwedenPermanentlever2026-07-31
Why this is a real AI job: The role explicitly focuses on building and maintaining detection models for content moderation, which is a core AI/ML application. The team owns the infrastructure behind these models and their deployment.
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of…
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