US-WA-BellevueGermanyFullTimeashby2026-07-31
Why this is a real AI job: The role is explicitly focused on building and scaling an LLM training platform (Cortex). The job description heavily emphasizes work with LLMs, GPU infrastructure, distributed systems for ML workloads, and productionizing research in this area. It's a core e…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…
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LondonUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and optimizing machine learning infrastructure, tooling, and systems. Responsibilities directly involve ML training, evaluation, deployment, and performance improvement. The qualifications and success metrics are hea…
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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LondonUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building infrastructure and tooling to improve the efficiency of machine learning workflows, including training, evaluation, deployment, and monitoring. The responsibilities and qualifications heavily emphasize ML-specific sk…
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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Sunnyvale, CAChinagreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on architecting machine learning systems, building distributed AI training systems, and optimizing hardware/software for ML products. The qualifications heavily emphasize ML experience and knowledge.
Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in AI industry and the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on AI industry? We’re looking forward to…
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US-WA-BellevueUSAFullTimeashby2026-07-31
Why this is a real AI job: The role is explicitly focused on building and scaling an LLM training platform (Cortex). The job description heavily emphasizes work with LLMs, GPU infrastructure, distributed systems for ML workloads, and productionizing research in this area. It's a core e…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…
Details Open source / apply
San FranciscoUSAFullTimeashby2026-07-31
Why this is a real AI job: The role is explicitly focused on building and optimizing infrastructure for large-scale LLM inference, a core AI task. The description heavily emphasizes AI/ML technologies and their application.
About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of li…
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RemoteUSAgreenhouse2026-07-31
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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San Francisco, CaliforniaUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on the architecture, development, and optimization of the inference engine for large language models (LLMs). The job description details deep technical requirements related to ML inference internals, GPU programming, and distrib…
P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency,…
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San Francisco, CaliforniaUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building a generative AI platform, including all stages of the ML lifecycle (data generation, training, evaluation, serving, agent-building). The job description heavily emphasizes ML and AI technologies.
P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform prov…
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San Francisco, CaliforniaUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on designing, developing, and optimizing the inference engine for Databricks' Foundation Model API (LLMs). The job description details deep technical work with model architectures, optimization, and distributed systems – all cor…
P-1284 About This Role As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are f…
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