BangaloreUSAgreenhouse2026-08-02
Warum echter KI-Job: The role explicitly focuses on building and improving core AI components like search engines, language models, and ranking systems. The tasks listed are heavily centered around ML model development, training, and deployment.
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…
Details Quelle / Bewerbung öffnen
USUSAgreenhouse2026-08-02
Warum echter KI-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…
Details Quelle / Bewerbung öffnen
USUSAgreenhouse2026-08-02
Warum echter KI-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…
Details Quelle / Bewerbung öffnen
SF OfficeUSAFullTimeashby2026-08-02
Warum echter KI-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…
Details Quelle / Bewerbung öffnen
NYC OfficeUSAFullTimeashby2026-08-02
Warum echter KI-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…
Details Quelle / Bewerbung öffnen
SF OfficeUSAFullTimeashby2026-08-02
Warum echter KI-Job: The role is explicitly focused on building and optimizing infrastructure for machine learning model inference, with a strong emphasis on scaling AI-driven solutions. The description details tasks directly related to ML model serving, optimization, and deploym…
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…
Details Quelle / Bewerbung öffnen
India OfficeUSAFullTimeashby2026-08-02
Warum echter KI-Job: The role is explicitly focused on bringing up and optimizing machine learning models and frameworks on specialized hardware. The responsibilities directly involve core AI/ML tasks like model architecture translation, performance tuning, and debugging.
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…
Details Quelle / Bewerbung öffnen
Headquarters/Sunnyvale OfficeUSAFullTimeashby2026-08-02
Warum echter KI-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…
Details Quelle / Bewerbung öffnen
Toronto OfficeUSAFullTimeashby2026-08-02
Warum echter KI-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…
Details Quelle / Bewerbung öffnen
US and Canada OfficesUSAFullTimeashby2026-08-02
Warum echter KI-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…
Details Quelle / Bewerbung öffnen