Toronto OfficeUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on building and fine-tuning LLMs, developing AI agents, and creating evaluation frameworks for safety-critical applications. The job description details specific AI/ML techniques and tools used in the core responsibilities.
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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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 implementing generative AI products for ad creative, including LLM/VLM fine-tuning, image/video editing pipelines, and safety systems. The job description heavily emphasizes AI/ML expertise and its application to…
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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San Francisco, CAUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on research and development of post-training techniques for LLMs, including SFT, RLHF, and reward modeling. The job description highlights the application of these techniques to enhance LLM capabilities and solve core AI problems.
Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation an…
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San Francisco, CAUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on research and development of LLMs, evaluation methodologies, and addressing failure modes in generative AI models. The core responsibilities are deeply rooted in AI/ML techniques.
Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod w…
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San Francisco, CAUSAgreenhouse2026-10-29
Why this is a real AI job: The role is explicitly focused on research and engineering of machine learning models, agentic AI systems, and productionizing AI solutions. The job description heavily emphasizes AI/ML technical direction, model training, evaluation, and building AI agents.
About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and aut…
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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and training state-of-the-art machine learning models, specifically LLMs and agents, for enterprise applications. The job description emphasizes research, algorithm development, and deployment of AI solutions.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on researching, building, and training LLMs and agents for enterprise applications. The job description heavily emphasizes ML algorithms, post-training methods, and deploying models to customers.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and optimizing ML systems for agent training, post-training LLMs, and enterprise AI applications. The job description heavily emphasizes technical skills in LLM training, RLHF, and related algorithms.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
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IndiaUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building data infrastructure for GenAI models, working with leading AI companies, and solving complex AI data problems. The description heavily emphasizes AI/ML/LLM concepts and applications.
About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F…
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Paris, FranceUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on GenAI and Machine Learning within the Databricks platform. The job description details deep technical expertise in LLMs, fine-tuning, reinforcement learning, and productionizing AI applications. A significant portion of the r…
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better d…
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