Inference Jobs – Page 2

Why this is a real AI job: The role is explicitly focused on building and optimizing AI/ML systems, specifically around inference and reinforcement learning for large language models. The responsibilities and requirements heavily emphasize core AI/ML skills and concepts.

About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production sca…

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Why this is a real AI job: The role is fundamentally focused on building and improving a platform for serving AI models, optimizing costs, and integrating with various LLMs. The description explicitly mentions core AI concepts like model routing, inference APIs, fine-tuning workflows,…

ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequo…

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Why this is a real AI job: The role is explicitly focused on building and maintaining the infrastructure for a generative AI platform, specifically LLMs. The responsibilities directly involve ML systems, model serving, and performance optimization of AI models.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequo…

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Why this is a real AI job: The role explicitly focuses on developing, fine-tuning, and operationalizing machine learning models, with a strong emphasis on generative AI and LLM inference. The responsibilities are heavily centered around AI/ML engineering tasks.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequo…

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Why this is a real AI job: The role explicitly focuses on developing and implementing machine learning models and algorithms for core Lyft products. Responsibilities heavily emphasize data science tasks like model building, experimentation, and analysis. The required qualifications als…

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. Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in…

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Why this is a real AI job: The role explicitly focuses on deploying and scaling AI products, working with customers on AI solutions, and contributing to open-source AI codebases. The job description heavily emphasizes AI/ML technologies and their application in production environments.

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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Why this is a real AI job: The role explicitly focuses on deploying and integrating Mistral AI's products (LLMs) with customers, involving end-to-end execution of AI solutions. The job description heavily emphasizes working directly with AI models, infrastructure for AI, and solving co…

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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Why this is a real AI job: The role explicitly focuses on developing systems for LLM inference and fine-tuning, requiring deep expertise in ML and related technologies. The company is a research-driven AI company.

About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the lar…

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Why this is a real AI job: The role is explicitly focused on LLM inference performance, model evaluation, and optimization on specialized hardware. The responsibilities and required skills are deeply rooted in AI/ML concepts and techniques.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

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Why this is a real AI job: The role is explicitly focused on bringing up and optimizing large language models (LLMs) on specialized hardware. The responsibilities and required skills are heavily centered around AI/ML concepts and implementation.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Open source / apply