NYC OfficeUSAFullTimeashby2026-07-31
Why this is a real AI job: The role is explicitly focused on evaluating and improving AI-powered healthcare products, building data infrastructure for AI research, and conducting research on the impact of AI in clinical settings. The core responsibilities revolve around AI/ML models an…
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our e…
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US and Canada OfficesUSAFullTimeashby2026-07-31
Why this is a real AI job: The role explicitly focuses on applying and improving machine learning techniques (specifically LLMs) at scale. Responsibilities center around building ML pipelines, optimizing models, and working with large datasets – all core AI activities.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transfor…
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San MateoUSAgreenhouse2026-07-31
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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New York CityUSAFullTimeashby2026-07-31
Why this is a real AI job: The role is explicitly focused on improving the quality of an LLM-first search engine through data science, metric design, and analysis of user interactions. The responsibilities directly involve working with LLMs and building data pipelines to support model…
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, crea…
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San FranciscoUSAFullTimeashby2026-07-31
Why this is a real AI job: The role explicitly focuses on building and optimizing recommendation systems powered by LLMs, requiring deep ML expertise. The job description heavily emphasizes ML fundamentals, model building, and data foundations for learning and improvement.
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and com…
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San Francisco, CAUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on research and development of machine learning models, synthetic data pipelines, and agent building – all core AI/ML activities. The description emphasizes cutting-edge research and contribution to a GenAI product.
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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London, UKUSAgreenhouse2026-07-31
Why this is a real AI job: The role is explicitly focused on building and deploying machine learning systems for a Generative AI platform. The job description details tasks directly related to core AI/ML concepts like RAG pipelines, knowledge representation, vector databases, and model…
Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build th…
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San Francisco, CAUSAgreenhouse2026-07-31
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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San Francisco, CAUSAgreenhouse2026-07-31
Why this is a real AI job: The role is fundamentally focused on building infrastructure to support machine learning research specifically for detecting and mitigating misuse of AI models. It directly involves working with model internals, training detection methods, and deploying these…
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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SeattleUSAFullTimeashby2026-07-31
Why this is a real AI job: The role is explicitly focused on building and improving OpenAI's core experimentation platform for AI products, requiring deep expertise in statistical rigor, causal inference, and ML experimentation. The tasks are overwhelmingly centered around AI/ML method…
About the Team The Statsig team at OpenAI https://openai.com?utm_source=chatgpt.com builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure…
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