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…
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San FranciscoUSAFullTimeashby2026-08-02
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 MateoUSAFullTimeashby2026-08-02
Warum echter KI-Job: The role is explicitly focused on building and maintaining the infrastructure for a generative AI platform, including LLM CI/CD pipelines, model serving systems, and performance optimization. The required qualifications include experience with ML infrastructu…
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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Redwood City, CAUSAFullTimeashby2026-08-02
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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San FranciscoUSAgreenhouse2026-08-02
Warum echter KI-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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RemoteUSAgreenhouse2026-08-02
Warum echter KI-Job: The role is entirely focused on the development and optimization of LLM inference frameworks, distributed systems, and related technologies. The responsibilities and requirements clearly indicate a core AI/ML engineering position.
About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-e…
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San FranciscoUSAgreenhouse2026-08-02
Warum echter KI-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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San FranciscoUSAgreenhouse2026-08-02
Warum echter KI-Job: The role is explicitly focused on building and optimizing the model serving layer for voice applications, working with state-of-the-art voice models and inference engines. The responsibilities are heavily centered around ML engineering tasks.
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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Dresden, Sachsen, DeutschlandDeutschlandba_search2026-08-02
Warum echter KI-Job: Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kern-KI-Rolle hin. Der Fokus liegt direkt auf KI-Entwicklung.
AI Engineer (m/f/d) KI-Engineer
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Bangalore, IndiaGermanygreenhouse2026-08-02
Warum echter KI-Job: The role explicitly focuses on building and deploying AI/ML/LLM solutions (predictive, generative, agentic) for a core product. The job description heavily emphasizes AI-related tasks and experience.
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process I…
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