New York, San MateoUSAgreenhouse2026-06-16
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: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge in…
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San FranciscoUSAgreenhouse2026-06-16
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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San Francisco, CAUSAgreenhouse2026-06-16
Why this is a real AI job: The role explicitly focuses on building and training state-of-the-art models, researching cutting-edge algorithms, and deploying them to enterprise customers. The job description heavily emphasizes LLMs, RLHF, and other advanced AI/ML techniques.
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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San Francisco, CAUSAgreenhouse2026-06-16
Why this is a real AI job: The role explicitly focuses on researching, building, and training machine learning models, specifically agents powered by LLMs and reinforcement learning. The job description highlights cutting-edge algorithms and applications to enterprise datasets, indicat…
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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San Francisco, CAUSAgreenhouse2026-06-16
Why this is a real AI job: The role explicitly focuses on research and development of post-training techniques for LLMs, including SFT, RLHF, and reward modeling. The job description highlights the application of these techniques to enhance LLM capabilities and solve core AI problems.
Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation an…
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San Francisco, CAUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on building and optimizing machine learning systems for enterprise generative AI applications, including post-training of LLMs using reinforcement learning techniques. The job description heavily emphasizes AI/ML skills and expe…
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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San Francisco, CAUSAgreenhouse2026-06-15
Why this is a real AI job: The role is explicitly focused on building and improving systems for training large language models using reinforcement learning. The job description details tasks directly related to ML algorithms, infrastructure, and model finetuning.
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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