San Francisco, CaliforniaUSAgreenhouse2026-06-16
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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San Francisco, CaliforniaUSAgreenhouse2026-06-16
Why this is a real AI job: The role explicitly focuses on research and engineering related to GenAI, LLMs, and optimizing training workflows for large models. The tasks are deeply technical and directly contribute to advancing the state-of-the-art in AI.
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are centra…
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San Francisco, CaliforniaUSAgreenhouse2026-06-16
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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Mountain View, CaliforniaUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on research and development of LLMs and AI systems for enterprise applications. The job description details tasks directly related to adapting, improving, and evaluating these models.
Company Description: At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value chal…
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London, UKUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description heavily emphasizes AI/ML/LLM 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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Anthropic · New York City, NY, San Francisco, CA
95/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description details tasks such as developing RL infrastructure,…
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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New York City, NYUSAgreenhouse2026-06-16
Why this is a real AI job: The role explicitly focuses on building LLM-powered tools and applications within the life sciences domain, working directly with research partners to integrate AI into their workflows. Responsibilities center around AI infrastructure, agent development, and…
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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Sydney, AustraliaUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on deploying and advising customers on the use of LLMs, requiring deep technical expertise in LLM implementation, prompt engineering, and evaluation. The responsibilities center around AI products and workflows.
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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San FranciscoUSAFullTimeashby2026-06-16
Why this is a real AI job: The role is explicitly focused on building and improving AI agents (Codex), working directly with LLMs, and turning research into production systems. The tasks described are overwhelmingly centered around AI/ML concepts.
About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the prod…
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San FranciscoUSAFullTimeashby2026-06-16
Why this is a real AI job: The role is explicitly focused on the safety of AI models, developing metrics to evaluate them, and providing data-driven insights for improvement. The job description heavily emphasizes AI/ML concepts and their application to real-world safety concerns.
About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and dev…
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