AI Job Radar

Deep Learning Jobs – Seite 18

Aktuelle KI-Jobs mit Deep Learning, passende Lernpfade und Bewerbungsbezug.

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Wenn ein Job Deep Learning verlangt, sollte der Skill nicht nur als Stichwort im CV stehen. Besser sind ein kurzer Projektbeleg, ein Kursnachweis oder ein Portfolio-Beispiel. Für den Bewerbungscheck wird geprüft, ob der Skill in deinem Lebenslauf wirklich belegbar ist.

197
Treffer
55
Unternehmen
94.9
Durchschn. Score
66
Remote

10 Treffer auf dieser Seite. Insgesamt 197 Treffer. Weitere Treffer sind über die Seitennavigation, Firmen-, Skill- und Jobdetailseiten erreichbar.

BerlinGermanygreenhouse2026-06-28

Warum echter KI-Job: The role is explicitly focused on leading a Generative AI team, defining strategy, and building production-ready applications. The description heavily emphasizes technical leadership in AI/ML, MLOps, and AI governance. The required skills are almost entirely…

About the opportunity We are seeking an inspirational and strategic Head of Data Science to lead our Generative AI team. This is a critical leadership role where you will define and drive the strategy for developing production-ready generative AI applications, transforming how N26 operates and serv…

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BerlinGermanygreenhouse2026-06-28

Warum echter KI-Job: The role is explicitly focused on leading a Generative AI team, defining strategy, and building production-ready applications. The description heavily emphasizes technical leadership in AI/ML, MLOps, and AI governance. The required skills are almost entirely…

About the opportunity We are seeking an inspirational and strategic Head of Data Science to lead our Generative AI team. This is a critical leadership role where you will define and drive the strategy for developing production-ready generative AI applications, transforming how N26 operates and serv…

Details Quelle / Bewerbung öffnen

San Francisco HQUSAFullTimeashby2026-06-26

Warum echter KI-Job: The role explicitly focuses on building and deploying foundation models, conducting ML research with production delivery, working across the full ML stack, and leveraging a unique financial dataset. The core responsibilities are deeply rooted in AI/ML.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…

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Machine Learning Engineer

Wayve · Tokyo, Japan

95/100
Tokyo, JapanUKgreenhouse2026-06-26

Warum echter KI-Job: The role explicitly focuses on developing and deploying machine learning models for autonomous driving, covering model architecture, data pipelines, and real-world deployment. The job description heavily emphasizes AI/ML expertise and its application to core…

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…

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Toronto OfficeUSAgreenhouse2026-06-26

Warum echter KI-Job: The role is explicitly focused on LLM inference performance, model evaluation, and optimization on specialized hardware. The responsibilities and required skills are deeply rooted in AI/ML concepts and techniques.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

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India OfficeUSAgreenhouse2026-06-26

Warum echter KI-Job: The role is explicitly focused on bringing up and optimizing ML frameworks and models on specialized hardware. The responsibilities directly involve core AI/ML tasks like model architecture translation, compiler optimizations, and performance tuning. The requ…

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

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Applied Machine Learning Research Scientist

Cerebras Systems · Headquarters/Sunnyvale Office, Toronto Office

95/100
Headquarters/Sunnyvale Office, Toronto OfficeUSAgreenhouse2026-06-26

Warum echter KI-Job: The role explicitly focuses on applying and improving machine learning techniques, specifically LLMs, for training, optimization, and deployment. The responsibilities are heavily centered around ML systems and pipelines.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Quelle / Bewerbung öffnen

Full Stack LLM Engineer

Cerebras Systems · Toronto Office

95/100
Toronto OfficeUSAgreenhouse2026-06-26

Warum echter KI-Job: The role is explicitly focused on bringing up and optimizing large language models (LLMs) on specialized hardware. The responsibilities and required skills are heavily centered around AI/ML concepts and implementation.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Quelle / Bewerbung öffnen

Tokyo, JapanUK/USAgreenhouse2026-06-24

Warum echter KI-Job: The role explicitly focuses on research and development of multilingual, multicultural, and multimodal LLMs (Gemini). The core responsibilities are directly related to AI/ML model development and evaluation. The job description emphasizes a strong research ba…

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citiz…

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