USUSAgreenhouse2026-08-04
Why this is a real AI job: The role is explicitly focused on building the backend infrastructure for an AI observability platform, with direct involvement in ML/LLM workflows, model evaluation, and data pipelines. The job description consistently references AI, LLMs, and machine learni…
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI eng…
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USUSAgreenhouse2026-08-04
Why this is a real AI job: The role is explicitly focused on building and improving LLM observability frameworks, collaborating with the open-source AI community, and developing tools for evaluating AI systems. The core responsibilities directly involve advanced AI/ML concepts.
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI eng…
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SF OfficeUSAFullTimeashby2026-08-04
Why this is a real AI job: The role explicitly focuses on advancing medical NLP, building and deploying ML models, and conducting research in areas directly related to AI. The description emphasizes the core AI/ML components of the position.
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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NYC OfficeUSAFullTimeashby2026-08-04
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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Headquarters/Sunnyvale OfficeUSAFullTimeashby2026-08-04
Why this is a real AI job: The role is fundamentally focused on building and automating systems for model quality, performance evaluation, and benchmarking using AI agents. The description explicitly centers around leveraging AI to solve core problems related to inference and model dep…
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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Toronto OfficeUSAFullTimeashby2026-08-04
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 directly involve working with model architectures, compilers, runtimes, and performance tuning – all core AI/ML tasks.
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 MateoUSAFullTimeashby2026-08-04
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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San FranciscoUSAgreenhouse2026-08-04
Why this is a real AI job: The role is entirely focused on building and optimizing the model serving layer for voice applications, including LLMs, STT, and TTS. It requires deep expertise in ML engineering, inference optimization, and GPU utilization. The responsibilities and requireme…
About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a…
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San FranciscoUSAgreenhouse2026-08-04
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 FranciscoUSAgreenhouse2026-08-04
Why this is a real AI job: The role is explicitly focused on building and optimizing AI inference systems for large language models. The responsibilities and requirements heavily emphasize ML engineering, performance optimization, and working with cutting-edge AI technologies.
About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and…
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