Large Language Models Jobs – Page 2

Why this is a real AI job: The role is entirely focused on the development and optimization of LLM inference frameworks, distributed systems, and related technologies. The responsibilities and requirements clearly indicate a core AI/ML engineering position.

About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-e…

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Why this is a real AI job: The role is explicitly focused on building and optimizing AI inference systems for large language models. The responsibilities and requirements heavily emphasize ML engineering, performance optimization, and working with cutting-edge AI technologies.

About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and…

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Why this is a real AI job: The role is explicitly focused on evaluating and improving large language models (Claude), building evaluation infrastructure, and monitoring model health. The core responsibilities directly involve AI/ML concepts and techniques.

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 is explicitly focused on building and managing data pipelines for Generative AI models (LLMs), including SFT and RLHF. The job description heavily emphasizes AI/ML concepts and their application to customer projects.

Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more. Scale AI’s Public Sector team is growing in…

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Why this is a real AI job: The role explicitly focuses on building, fine-tuning, and deploying machine learning systems and large language models for core product use cases. The required skills are heavily weighted towards advanced AI/ML techniques.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…

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Why this is a real AI job: The role is explicitly focused on building and evaluating agentic AI systems powered by LLMs. The job description details tasks directly related to ML model selection, fine-tuning, evaluation frameworks, and production deployment of AI agents.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…

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Why this is a real AI job: The role explicitly focuses on developing and deploying Reinforcement Learning methods for Large Language Models to improve Spotify's recommendation algorithms. The description highlights core ML tasks like prototyping, productizing state-of-the-art models, a…

The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs). We drive massive impact across all recommendations discovery surfaces by moving beyond simple…

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Why this is a real AI job: The role is explicitly focused on developing and optimizing core components of LLM training pipelines (tokenization, encodings). The responsibilities directly involve ML systems, data processing, and model performance. The company's mission is centered around…

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, deploying, and maintaining machine learning systems in production. The responsibilities are heavily centered around ML engineering tasks like model training, validation, data pipeline construction, and collaboration wi…

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work ,…

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Why this is a real AI job: The role explicitly focuses on research and development of multilingual, multicultural, and multimodal LLMs (Gemini). The core responsibilities are directly related to AI/ML model development and evaluation. The job description emphasizes a strong research ba…

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citiz…

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