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Aktuelle KI-Jobs – Seite 21

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10 Treffer auf dieser Seite. Insgesamt 1152 Treffer. Weitere Treffer sind über die Seitennavigation, Firmen-, Skill- und Jobdetailseiten erreichbar.

Full Stack LLM Engineer

Cerebras Systems · Toronto Office

95/100
Toronto OfficeUSAFullTimeashby2026-07-31

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…

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US and Canada OfficesUSAFullTimeashby2026-07-31

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…

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San FranciscoUSAFullTimeashby2026-07-31

Warum echter KI-Job: The role is explicitly focused on building and optimizing infrastructure for large-scale LLM inference, a core AI task. The description heavily emphasizes AI/ML technologies and their application.

About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of li…

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San MateoUSAgreenhouse2026-07-31

Warum echter KI-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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Applied Machine Learning Engineer

Fireworks AI · New York, San Mateo

95/100
New York, San MateoUSAgreenhouse2026-07-31

Warum echter KI-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: 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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LondonUSAgreenhouse2026-07-31

Warum echter KI-Job: The role is explicitly focused on developing, fine-tuning and operationalizing machine learning models. The company builds generative AI infrastructure and the responsibilities directly relate to applying ML in a production environment.

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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SingaporeUSAgreenhouse2026-07-31

Warum echter KI-Job: The role explicitly focuses on developing, fine-tuning, and operationalizing machine learning models. The company is building generative AI infrastructure, and the responsibilities are heavily centered around applying ML to real-world problems.

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 FranciscoUSAFullTimeashby2026-07-31

Warum echter KI-Job: The role is explicitly focused on building, scaling, and optimizing LLM inference workloads. The team is a 'Forward Deployed Engineering' team working directly with customers on AI deployments. The requirements clearly state experience with LLMs and ML infere…

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the fronti…

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Berlin OfficeGermany/GlobalFullTimeashby2026-07-31

Warum echter KI-Job: The role is explicitly focused on building AI-powered features into the core product, including LLM integration, prompt engineering, and AI feature lifecycle management. The requirements and bonus points heavily emphasize AI/ML expertise.

The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community an…

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Redwood City, CAUSAFullTimeashby2026-07-31

Warum echter KI-Job: The role is explicitly focused on building and maintaining infrastructure for ML research and serving, with a strong emphasis on large language models and GPU utilization. The requirements and responsibilities directly relate to core AI/ML engineering tasks.

ABOUT THE ROLE We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Responsibilities: - Provide infrastructure support to our ML research and product - Build tooling to diagnose cluster issues…

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