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                          2.324 Treffer für Deep Learning Jobs in Süddeutschland im Umkreis von 30 km

                          Research Associate – Deep Learning for Speech and Audio Coding (all genders)

                          Fraunhofer-Institut für Integrierte Schaltungen IIS
                          Erlangen
                          Teilweise Home-Office
                          Are you an ambitious research engineer or scientist who is keen on developing cutting-edge technologies based on deep neural network learning? * Generative AI in Speech Coding: You will explore advanced machine learning techniques, including generative AI techniques such as Generative Adversarial Networks (GANs), diffusion based models (e.g., DDPMs), and transformer architectures, and assess their suitability and impact for deep neural network-based speech and audio coding. * Expertise in machine learning and deep neural networks using generative AI (e.g. GANs, diffusion-based models, transformers) * Good programming skills in Python and C/C++, as well as good knowledge of deep learning frameworks (e.g., PyTorch) * Data-driven Signal Processing: In this role, you will study, develop and apply new machine learning concepts to represent and synthesize speech and audio signals more efficiently.
                          Are you an ambitious research engineer or scientist who is keen on developing cutting-edge technologies based on deep neural network learning? * Generative AI in Speech Coding: You will explore advanced machine learning techniques, including generative AI techniques such as Generative Adversarial Networks (GANs), diffusion based models (e.g., DDPMs), and transformer architectures, and assess their suitability and impact for deep neural network-based speech and audio coding. * Expertise in machine learning and deep neural networks using generative AI (e.g. GANs, diffusion-based models, transformers) * Good programming skills in Python and C/C++, as well as good knowledge of deep learning frameworks (e.g., PyTorch) * Data-driven Signal Processing: In this role, you will study, develop and apply new machine learning concepts to represent and synthesize speech and audio signals more efficiently.
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                          excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools * You will shape and influence Bosch's technological development by assessing emerging machine learning technologies and providing strategic insights. * Last but not least, you will work within a dynamic AI department alongside machine learning experts, collaborating with globally to maximize business impact. * Education: excellent MSc in Computer Science or related fields, PhD in Machine Learning with focus on Large Language Models, generative AI or foundation models - o proven research track record and multiple years of hands-on expertise in LLMs, GenAI, agentic AI, end-2-end automotive models, or vision-language models, including publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, CVPR,...)
                          excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools * You will shape and influence Bosch's technological development by assessing emerging machine learning technologies and providing strategic insights. * Last but not least, you will work within a dynamic AI department alongside machine learning experts, collaborating with globally to maximize business impact. * Education: excellent MSc in Computer Science or related fields, PhD in Machine Learning with focus on Large Language Models, generative AI or foundation models - o proven research track record and multiple years of hands-on expertise in LLMs, GenAI, agentic AI, end-2-end automotive models, or vision-language models, including publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, CVPR,...)
                          mehr
                          NEU
                          experience with large-scale deep learning and transformer-based or multimodal models - Your work will focus on how large-scale AI models can acquire robust, generalizable, and goal-directed behaviors through reinforcement learning, multimodal experience, and interaction with learned or simulated environments. In this context, you will investigate how predictive models of environment dynamics, latent state, and agent-environment interaction can support policy learning, planning, behavior synthesis, and evaluation. * Your work will bridge foundational research and practical implementation, and will contribute to the design of architectures that connect representation learning, latent dynamics modeling, reinforcement learning, and large-scale behavior modeling. Building the infrastructure needed for pretraining, simulation-based learning, fine-tuning, and benchmarking in ...
                          experience with large-scale deep learning and transformer-based or multimodal models - Your work will focus on how large-scale AI models can acquire robust, generalizable, and goal-directed behaviors through reinforcement learning, multimodal experience, and interaction with learned or simulated environments. In this context, you will investigate how predictive models of environment dynamics, latent state, and agent-environment interaction can support policy learning, planning, behavior synthesis, and evaluation. * Your work will bridge foundational research and practical implementation, and will contribute to the design of architectures that connect representation learning, latent dynamics modeling, reinforcement learning, and large-scale behavior modeling. Building the infrastructure needed for pretraining, simulation-based learning, fine-tuning, and benchmarking in ...
                          mehr
                          solid experience in Python and modern deep learning frameworks such as PyTorch, TensorFlow, or JAX in industrial real-world applications * As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop the next generation of agentic AI systems based on reinforcement learning, with a primary focus on applications in systems engineering. Your work will address how intelligent agents can support and partially automate complex engineering workflows by learning to make structured decisions in environments shaped by constraints, specifications, system models, and long-horizon objectives. You will investigate how reinforcement learning, hierarchical decision-making, model-based methods, and planning can be combined with modern agentic AI architectures to support engineering tasks such as architecture ...
                          solid experience in Python and modern deep learning frameworks such as PyTorch, TensorFlow, or JAX in industrial real-world applications * As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop the next generation of agentic AI systems based on reinforcement learning, with a primary focus on applications in systems engineering. Your work will address how intelligent agents can support and partially automate complex engineering workflows by learning to make structured decisions in environments shaped by constraints, specifications, system models, and long-horizon objectives. You will investigate how reinforcement learning, hierarchical decision-making, model-based methods, and planning can be combined with modern agentic AI architectures to support engineering tasks such as architecture ...
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                          Sie bringen fundierte Kenntnisse und einschlägige praktische Erfahrung in Machine Learning und Deep Learning mit, insbesondere im Kontext von generativer KI und KI-Agenten
                          Sie bringen fundierte Kenntnisse und einschlägige praktische Erfahrung in Machine Learning und Deep Learning mit, insbesondere im Kontext von generativer KI und KI-Agenten
                          mehr
                          solid experience in Python and modern deeplearning frameworks (e.g. PyTorch, TensorFlow, JAX) * Your work will focus on next-generation agentic systems that combine reinforcement learning, structured reasoning, memory, and knowledge-based representations to operate effectively in semantically rich also technically demanding environments. * You are expected to bring a strong external network and effectively position Bosch in collaborative projects, scientific exchanges, also strategic initiatives related to agentic AI, reinforcement learning, as well as neuro-symbolic systems. You investigate how agents learn through interaction, simulation, and structured feedback, represent also manipulate knowledge in compositional forms, as well as integrate reinforcement learning with symbolic abstractions, hierarchical planning, memory, and reasoning.
                          solid experience in Python and modern deeplearning frameworks (e.g. PyTorch, TensorFlow, JAX) * Your work will focus on next-generation agentic systems that combine reinforcement learning, structured reasoning, memory, and knowledge-based representations to operate effectively in semantically rich also technically demanding environments. * You are expected to bring a strong external network and effectively position Bosch in collaborative projects, scientific exchanges, also strategic initiatives related to agentic AI, reinforcement learning, as well as neuro-symbolic systems. You investigate how agents learn through interaction, simulation, and structured feedback, represent also manipulate knowledge in compositional forms, as well as integrate reinforcement learning with symbolic abstractions, hierarchical planning, memory, and reasoning.
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                          Senior Data Scientist (m/w/d)

                          Senacor Technologies AG
                          Berlin, Bonn, Frankfurt, Hamburg, München, Nürnberg
                          Teilweise Home-Office
                          Du verfügst über ein exzellentes Verständnis von Graph- und Machine-Learning-Algorithmen (Random Forests, Boosting, Support Vector Machines, Neural Networks, Deep Learning), sowie von mathematischer Modellierung (Statistik, Zeitreihenanalyse, Netzwerkanalyse, usw.) und hast praktische Erfahrung mit relevanten Bibliotheken (z.B. scikit-learn, TensorFlow/Keras, PyTorch, JAX, XGBoost) * Du entwirfst und implementierst Machine-Learning-Modelle zur Lösung komplexer Probleme, wobei du geeignete Algorithmen auswählst und anpasst
                          Du verfügst über ein exzellentes Verständnis von Graph- und Machine-Learning-Algorithmen (Random Forests, Boosting, Support Vector Machines, Neural Networks, Deep Learning), sowie von mathematischer Modellierung (Statistik, Zeitreihenanalyse, Netzwerkanalyse, usw.) und hast praktische Erfahrung mit relevanten Bibliotheken (z.B. scikit-learn, TensorFlow/Keras, PyTorch, JAX, XGBoost) * Du entwirfst und implementierst Machine-Learning-Modelle zur Lösung komplexer Probleme, wobei du geeignete Algorithmen auswählst und anpasst
                          mehr
                          solid experience with machine learning methods, particularly in the field of deep learning o experience with at least one deep learning framework (e.g., PyTorch or JAX) * You will develop and evaluate advanced machine learning methods for hyperspectral anomaly detection, leveraging self‑supervised representation learning as well as transfer and meta‑learning techniques, complemented by domain generalization approaches. * Education: completed Master's degree in computer science, machine learning, artificial intelligence, or a related field with excellent academic performance - o knowledge of representation learning, self‑supervised learning, or transfer learning * Enthusiasm: you have a strong interest in machine learning and computer vision for industrial applications and are passionate about solving challenging real‑world problems through research
                          solid experience with machine learning methods, particularly in the field of deep learning o experience with at least one deep learning framework (e.g., PyTorch or JAX) * You will develop and evaluate advanced machine learning methods for hyperspectral anomaly detection, leveraging self‑supervised representation learning as well as transfer and meta‑learning techniques, complemented by domain generalization approaches. * Education: completed Master's degree in computer science, machine learning, artificial intelligence, or a related field with excellent academic performance - o knowledge of representation learning, self‑supervised learning, or transfer learning * Enthusiasm: you have a strong interest in machine learning and computer vision for industrial applications and are passionate about solving challenging real‑world problems through research
                          mehr
                          Strong fundamentals in machine learning and deep learning * Your tasks Contribute to research on multimodal and video-based machine learning methods, develop and evaluate models for holistic video understanding (e.g. video-language models, temporal reasoning, multimodal fusion) * Enrolled in a Master's or PhD program in Computer Science, Machine Learning, or a related field in Germany * Experience with video analysis, multimodal learning, or foundation models is a plus
                          Strong fundamentals in machine learning and deep learning * Your tasks Contribute to research on multimodal and video-based machine learning methods, develop and evaluate models for holistic video understanding (e.g. video-language models, temporal reasoning, multimodal fusion) * Enrolled in a Master's or PhD program in Computer Science, Machine Learning, or a related field in Germany * Experience with video analysis, multimodal learning, or foundation models is a plus
                          mehr
                          Deep master of deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. Through debugging, benchmarking, and deep technical iteration, you'll uncover patterns, limitations, and opportunities, and turn them into actionable insights that directly inform research and architecture improvements. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
                          Deep master of deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. Through debugging, benchmarking, and deep technical iteration, you'll uncover patterns, limitations, and opportunities, and turn them into actionable insights that directly inform research and architecture improvements. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
                          mehr
                          Entwicklung, Implementierung und Optimierung von Machine Learning & Deep Learning Modellen für industrielle Applikationen * Mehrjährige praktische Erfahrung im Bereich Machine Learning / Deep Learning mit Fokus Industrial AI
                          Entwicklung, Implementierung und Optimierung von Machine Learning & Deep Learning Modellen für industrielle Applikationen * Mehrjährige praktische Erfahrung im Bereich Machine Learning / Deep Learning mit Fokus Industrial AI
                          mehr

                          Werkstudent (m/w/d) – Machine Learning Automated Driving

                          ARRK Engineering GmbH
                          München
                          Teilweise Home-Office
                          Schnelle Bewerbung
                          Kenntnisse in den Bereichen Machine Learning, Deep Learning und Künstliche Intelligenz - Sie werden Teil eines dynamischen Teams von Experten, das eng zusammenarbeitet, um fortschrittliche Machine-Learning-Modelle zu entwickeln und zu implementieren. * Unterstützung bei der Entwicklung und Implementierung von Machine-Learning-Modellen zur Verbesserung von autonomen Fahrsystemen * Zusammenarbeit mit Softwareentwicklern und Systemingenieuren zur Integration von Machine-Learning-Lösungen in unsere autonomen Fahrsysteme
                          Kenntnisse in den Bereichen Machine Learning, Deep Learning und Künstliche Intelligenz - Sie werden Teil eines dynamischen Teams von Experten, das eng zusammenarbeitet, um fortschrittliche Machine-Learning-Modelle zu entwickeln und zu implementieren. * Unterstützung bei der Entwicklung und Implementierung von Machine-Learning-Modellen zur Verbesserung von autonomen Fahrsystemen * Zusammenarbeit mit Softwareentwicklern und Systemingenieuren zur Integration von Machine-Learning-Lösungen in unsere autonomen Fahrsysteme
                          mehr
                          Machine Learning, Deep Learning, Neural Networks * Learning and Development: Enhance your practical experience with a variety of learning and training methods, supported by an individual budget.
                          Machine Learning, Deep Learning, Neural Networks * Learning and Development: Enhance your practical experience with a variety of learning and training methods, supported by an individual budget.
                          mehr
                          Comprehensive expertise in modern machine learning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations. To achieve cost and energy efficient solutions, we combine deep expertise in AI and chip design, developing tailor made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          Comprehensive expertise in modern machine learning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations. To achieve cost and energy efficient solutions, we combine deep expertise in AI and chip design, developing tailor made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          mehr

                          Senior AI Solution Architect / AI Strategy Consultant (m/w/d)

                          PTA GmbH
                          Berlin, Dresden, Düsseldorf, Frankfurt, Hamburg, Karlsruhe, Kassel, Köln, Mannheim, München, u.a.
                          Teilweise Home-Office
                          Mind. 5 Jahre Erfahrung in der Entwicklung von KI-Modellen, z. B. mit LLMs (Large Language Models), Deep Learning, Agentic AI, RAG-Architekturen
                          Mind. 5 Jahre Erfahrung in der Entwicklung von KI-Modellen, z. B. mit LLMs (Large Language Models), Deep Learning, Agentic AI, RAG-Architekturen
                          mehr
                          Comprehensive expertise in modern machinelearning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations. To achieve cost‑ and energy‑efficient solutions, we combine deep expertise in AI and chip design, developing tailor‑made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * You own the full lifecycle of machine learning models – from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          Comprehensive expertise in modern machinelearning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations. To achieve cost‑ and energy‑efficient solutions, we combine deep expertise in AI and chip design, developing tailor‑made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * You own the full lifecycle of machine learning models – from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
                          mehr
                          NEU
                          Schnelle Bewerbung
                          Synthetische Daten zum Trainieren und Validieren von Deep Learning Modellen
                          Synthetische Daten zum Trainieren und Validieren von Deep Learning Modellen
                          Proficiency with deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. You will tailor our foundation models to the unique complexities of real-world SAP applications, supercharging them with the deep-seated business process intuition and specialized reasoning required for the enterprise. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
                          Proficiency with deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. You will tailor our foundation models to the unique complexities of real-world SAP applications, supercharging them with the deep-seated business process intuition and specialized reasoning required for the enterprise. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
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                          Idealerweise Kenntnisse in Zeitreihenanalyse, Machine Learning / Deep Learning und Batteriesystemen oder Elektromobilität - Das übergeordnete Ziel des Teams ist es datenbasierte Lösungen in Form von Dashboards, Analysen, Machine Learning Modellen etc. für die verschiedenen Engineering Bereiche zu entwickeln, um die digitaleTransformation bei der MAN sowohl intern, z.B. in Form von Produkt- und Prozessverbesserungen und mehr Transparenz als auch extern, z.B. mit Hilfe neuer innovativer digitaler Produkte, voranzutreiben.
                          Idealerweise Kenntnisse in Zeitreihenanalyse, Machine Learning / Deep Learning und Batteriesystemen oder Elektromobilität - Das übergeordnete Ziel des Teams ist es datenbasierte Lösungen in Form von Dashboards, Analysen, Machine Learning Modellen etc. für die verschiedenen Engineering Bereiche zu entwickeln, um die digitaleTransformation bei der MAN sowohl intern, z.B. in Form von Produkt- und Prozessverbesserungen und mehr Transparenz als auch extern, z.B. mit Hilfe neuer innovativer digitaler Produkte, voranzutreiben.
                          mehr

                          Senior-Expertin (w/m/d) Qualitäts­gesicherte KI

                          ZITiS - Zentrale Stelle für Informationstechnik im Sicherheitsbereich
                          München
                          Teilweise Home-Office
                          fundierte, angewandte Kenntnisse in Künstlicher Intelligenz und maschinellem Lernen, einschließlich gängiger Algorithmen und Methoden (insbesondere Deep Learning), nachgewiesen durch mindestens zwei Jahre praktische Berufserfahrung
                          fundierte, angewandte Kenntnisse in Künstlicher Intelligenz und maschinellem Lernen, einschließlich gängiger Algorithmen und Methoden (insbesondere Deep Learning), nachgewiesen durch mindestens zwei Jahre praktische Berufserfahrung
                          mehr

                          Werkstudent im Bereich Data Science (m/w/d)

                          AP Sensing GmbH
                          Böblingen bei Stuttgart
                          Teilweise Home-Office
                          Schnelle Bewerbung
                          Erfahrung mit Deep Learning sowie praktische Projekterfahrung sind erforderlich. * Definition der Modellarchitektur und der Methoden für selbstüberwachtes Lernen (Self-Supervised Learning) für Foundation Models. * Ausgezeichnete Programmierkenntnisse in Python und praktische Erfahrung mit Machine-Learning-Frameworks wie PyTorch.
                          Erfahrung mit Deep Learning sowie praktische Projekterfahrung sind erforderlich. * Definition der Modellarchitektur und der Methoden für selbstüberwachtes Lernen (Self-Supervised Learning) für Foundation Models. * Ausgezeichnete Programmierkenntnisse in Python und praktische Erfahrung mit Machine-Learning-Frameworks wie PyTorch.
                          mehr
                          Schnelle Bewerbung
                          Dabei bist Du bereits mit Technologien im Bereich Künstlicher Intelligenz in Berührung gekommen, insbesondere Machine Learning, Predictive Analytics, Deep Learning und Webtechnologien (z.B. Microservices, REST) sowie mit Datenarchitekturen für Cloud-Technologien. * Idealerweise bist Du souverän im Umgang mit Python oder R, gängigen Data Science-Bibliotheken (z.B. pandas, scikit-learn), Deep Learning (z.B. PyTorch) und Python-Webframeworks wie Django, Fast API oder Flask * Dabei hältst Du aktuelle technische und branchenbezogene Marktentwicklungen zu den Themen Advanced Analytics, Machine Learning sowie Künstliche Intelligenz stets im Blick und evaluierst, wie diese thematisch in unsere Kundenprojekte und Produktlandschaft passen. * Außerdem übernimmst Du im Kontext von Kundenprojekten verschiedene Aufgaben wie die Beschaffung und Aufbereitung großer Datensätze, die Analyse von Daten mittels ...
                          Dabei bist Du bereits mit Technologien im Bereich Künstlicher Intelligenz in Berührung gekommen, insbesondere Machine Learning, Predictive Analytics, Deep Learning und Webtechnologien (z.B. Microservices, REST) sowie mit Datenarchitekturen für Cloud-Technologien. * Idealerweise bist Du souverän im Umgang mit Python oder R, gängigen Data Science-Bibliotheken (z.B. pandas, scikit-learn), Deep Learning (z.B. PyTorch) und Python-Webframeworks wie Django, Fast API oder Flask * Dabei hältst Du aktuelle technische und branchenbezogene Marktentwicklungen zu den Themen Advanced Analytics, Machine Learning sowie Künstliche Intelligenz stets im Blick und evaluierst, wie diese thematisch in unsere Kundenprojekte und Produktlandschaft passen. * Außerdem übernimmst Du im Kontext von Kundenprojekten verschiedene Aufgaben wie die Beschaffung und Aufbereitung großer Datensätze, die Analyse von Daten mittels ...
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                          Wie viele offene Stellenangebote gibt es für Deep Learning Jobs in Süddeutschland?
                          Aktuell gibt es auf StepStone 2.324 offene Stellenanzeigen für Deep Learning Jobs in Süddeutschland.

                          Welche anderen Orte sind auch beliebt für Leute, die in Süddeutschland einen Deep Learning Job suchen?
                          Folgende Orte sind auch interessant für Leute, die in Süddeutschland einen Deep Learning Job suchen: München, Stuttgart, Nürnberg.

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                          Wer nach Deep Learning Jobs in Süddeutschland sucht, sucht häufig auch nach Ai Software Developer, Senior Full Stack Developer, Front End Developer.

                          Welche Fähigkeiten braucht man für Deep Learning Jobs in Süddeutschland??
                          Für einen Deep Learning Job in Süddeutschland sind folgende Fähigkeiten von Vorteil: Kommunikation, Deutsch, Englisch, Beratung, Flexibilität.

                          Wie viele offene Teilzeit-Stellen gibt es für Deep Learning Jobs in Süddeutschland?
                          Für Deep Learning Jobs in Süddeutschland gibt es aktuell 483 offene Teilzeitstellen.