AI Job Radar

Deep Learning Jobs – Seite 8

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

Wie du Deep Learning für Bewerbungen nutzt

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.

Staff Machine Learning Scientist

Intercom · Dublin, Ireland

95/100
Dublin, IrelandGlobalgreenhouse2026-09-10

Warum echter KI-Job: The role is explicitly focused on building and deploying machine learning models to power the core product (Fin AI Agent). The description details research, development, and productionization of ML features, algorithms, and models. The team is 'ML focused' an…

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from servi…

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Palo Alto HQUSAFullTimeashby2026-09-10

Warum echter KI-Job: The role is explicitly focused on accelerating and optimizing AI models (video generation and LLMs) for production deployment. The required skills are heavily centered around ML engineering principles and tools.

ABOUT THE ROLE We are seeking Senior/Staff level Inference Engineers to accelerate the performance of Pika's AI-driven products. In this highly technical role, you will operate at the intersection of cutting-edge inference acceleration, GPU parallelism, advanced model deployment, and video generati…

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AI Engineer

P-1 AI · San Francisco Bay Area

95/100
San Francisco Bay AreaGermany/USAFullTimeashby2026-09-10

Warum echter KI-Job: The role is explicitly focused on building and improving an AI agent (Archie) for engineering tasks. The description details work with LLMs, agentic harnesses, model training, and production deployment of AI systems. This is a core AI research and engineering…

TL;DR: If you: - have a demonstrated track record of turning ambitious AI ideas into products people actually use; - move effortlessly between research and engineering; - have shipped something extraordinary, at work or outside of it; - are relentlessly curious about how things work… … you should a…

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RemoteUSAgreenhouse2026-09-10

Warum echter KI-Job: The role explicitly focuses on building and deploying GenAI/ML solutions for customers. The job description details tasks like model development, data exploration, fine-tuning pipelines, RAG implementation, and evaluation workflows - all core AI activities.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…

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Applied AI Engineer - Enterprise Solutions

Snorkel AI · New York City, Remote, San Francisco

95/100
New York City, Remote, San FranciscoUSAgreenhouse2026-09-10

Warum echter KI-Job: The role explicitly focuses on building and deploying GenAI and ML solutions for customers. The responsibilities heavily emphasize model development, data processing, evaluation workflows, and staying current with AI research. Required skills are overwhelming…

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…

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SF OfficeUSAFullTimeashby2026-09-10

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…

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Full Stack LLM Engineer

Cerebras Systems · Toronto, CAN

95/100
Toronto, CANUSAFullTimeashby2026-09-10

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 the entire ML model lifecycle - from architecture translation to performance tuning. Strong emphasis on de…

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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United States and CanadaUSAFullTimeashby2026-09-10

Warum echter KI-Job: The role is explicitly focused on applying and improving machine learning techniques (specifically LLMs) at scale. Responsibilities directly involve 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 FranciscoUSAFullTimeashby2026-09-10

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 FranciscoUSAgreenhouse2026-09-10

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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