Research Engineer in Neuro-Symbolic AI & Multimodal Assistant Systems (f/m/div.)

Bosch GroupRenningen

On-site Full-time

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Experience Level

Experience

Qualifications

Ideal candidates will possess a Master's or PhD in Computer Science, Artificial Intelligence, or a related field. Proficiency in programming languages such as Python and experience with AI frameworks is essential. A strong foundation in machine learning, symbolic reasoning, and familiarity with multimodal data integration techniques will set you apart. Excellent problem-solving skills and a keen interest in research are crucial.

About the job

Role overview

This role involves advancing AI systems that combine logic-based reasoning with machine learning. The aim is to improve how artificial intelligence understands and interacts with complex environments.

What you will do

Contribute to research projects that integrate neural and symbolic methods
Develop and refine AI technologies for use in diverse applications

Impact

Your work will support the evolution of AI capabilities, helping shape future technologies that rely on both data-driven and knowledge-based approaches.

About Bosch Group

Bosch Group is a global leader in technology and services, dedicated to creating solutions that enhance quality of life through innovative products. With a commitment to sustainability and efficiency, Bosch drives advancements across various sectors, including mobility, industrial technology, consumer goods, and energy and building technology.

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Freelance Research Physicist with Python Expertise - AI Trainer

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Quantum Research Scientist Specializing in Python - Freelance AI Trainer

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Contract|$45/hr - $45/hr|Remote|Remote — Stuttgart, Baden-Württemberg, Germany

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Apr 30, 2026

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Full-time|On-site|Hamburg, Hamburg, Germany

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Mar 17, 2026

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Model Research Engineer (m/f/d) at Deepslate | Germany

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Full-time|Remote|Germany

Location: Remote / Berlin (Office available) | Language Requirement: Fluent GermanAt Deepslate, we are pioneering the development of advanced Speech to Speech Voice AI models that closely emulate human speech. We believe in making this technology accessible to everyone.While industry leaders like OpenAI and Google have excelled with text and image processing, the realm of voice technology remains a complex challenge with its multitude of languages, dialects, accents, and nuanced intonations.This is where Deepslate steps in.Supported by top-tier investors from the technology and AI sectors, alongside a significant German VC fund, we are well-funded and poised for rapid growth.Join us in shaping the future of communication.We are not merely creating another standalone platform; we are the intelligence engine that drives a multitude of applications. Our models are embedded in various systems, whether integrated by CRM providers, utilized in other Voice AI platforms, or directly implemented in enterprise solutions through our partners.Your RoleAs a pivotal member of our team, you will research, train, and enhance our proprietary Voice AI model. Your objective is to create a sophisticated speech-to-speech model that captures the intricate nuances of human communication. You will address challenging tasks such as real-time emotion recognition and natural speech patterns to construct a superior voice model from the ground up.What You'll Do:Your contributions will blend AI research with scalable software engineering, establishing the benchmarks for how effectively our models perform in real-world applications.Research & Train: Design, implement, and assess our proprietary deep learning models. You will spearhead the creation of new features, including emotion detection, and incorporate them into our core system architecture.High-Performance ML Systems: Optimize model performance for speed and efficiency, ensuring the capability to process large datasets and real-time tasks at scale.Software Engineering: Develop clean, production-ready code. We seek researchers who excel in software engineering, adept at transforming complex research into reliable architectures.Collaboration: Work closely with cross-functional teams to align research objectives with practical applications and ensure cohesive integration of advancements.This role is designed for those passionate about pushing the boundaries of AI and voice technology.

Mar 6, 2026

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Senior Research Engineer - Data Engine

Intrinsic Robotics

Full-time|On-site|Munich, Germany

Intrinsic Robotics, a pioneering venture within Alphabet, is dedicated to revolutionizing the landscape of industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will reshape the capabilities of industrial robotics in the near future, with software and data at the heart of this transformation. Our mission is to make intelligent industrial robotics accessible and usable for a multitude of businesses, entrepreneurs, and developers. We are a vibrant group of engineers, roboticists, designers, and technologists, all committed to unleashing the creative and economic potential of industrial robotics.Role OverviewIn your capacity as a Senior Research Engineer specializing in Data Engine, you will spearhead the design and implementation of systems that facilitate the training, deployment, and utilization of large-scale AI models for robotics. Your leadership will shape the technical direction, mentor fellow engineers, and ensure the establishment of robust, scalable data pipelines and machine learning infrastructure essential for enhancing the capabilities of robots in real-world settings. Your contributions will empower both internal teams and external partners by delivering accessible tools and infrastructure for integrating advanced AI methodologies into robotic applications.Key ResponsibilitiesLead the architecture and execution of infrastructure for training and deploying large-scale robotic foundation models.Manage the development and upkeep of data pipelines for the collection, processing, and integration of real-world robot data into machine learning workflows.Enable machine learning researchers and engineers with user-friendly tools and infrastructure for leveraging AI techniques in robotics.Collaborate with product and engineering teams to specify infrastructure needs and deliver effective solutions for both partners and customers.

Dec 17, 2025

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Research Engineer in Neuro-Symbolic AI & Multimodal Assistant Systems (f/m/div.)

Bosch Group

Full-time|On-site|Renningen

Bosch Group is seeking a Research Engineer to focus on Neuro-Symbolic AI and Multimodal Assistant Systems at the Renningen location. This position centers on research and development that blends symbolic reasoning with neural network approaches. Role overview This role involves advancing AI systems that combine logic-based reasoning with machine learning. The aim is to improve how artificial intelligence understands and interacts with complex environments. What you will do Contribute to research projects that integrate neural and symbolic methods Develop and refine AI technologies for use in diverse applications Impact Your work will support the evolution of AI capabilities, helping shape future technologies that rely on both data-driven and knowledge-based approaches.

Apr 29, 2026

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Research Engineer in Neuro-Symbolic AI & Multimodal Assistant Systems (f/m/div.)

Bosch Group

Full-time|On-site|Renningen

Bosch Group is seeking a Research Engineer with a focus on Neuro-Symbolic AI and Multimodal Assistant Systems. This position centers on advancing research and development projects that blend symbolic reasoning with neural network approaches. Role overview This role involves working on intelligent assistant solutions that bring together multiple input types, including text, voice, and vision. The aim is to drive innovation at the intersection of symbolic and neural AI methods. What you will do Contribute to research that combines symbolic reasoning with neural networks Support the development of assistant systems capable of processing and integrating different modalities Help advance Bosch’s work on intelligent, multimodal assistant technologies Location This position is based in Renningen.

Apr 29, 2026

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Research Engineer, Foundation Model

Prior Labs

Full-time|On-site|Berlin

About UsAt Prior Labs, we are pioneers in developing foundation models that effectively comprehend tabular data, which serves as the cornerstone of various fields including science and business. While foundation models have revolutionized the processing of text and images, structured data remains a largely untapped resource. Our mission is to address this $600 billion opportunity, fundamentally transforming the way organizations engage with scientific, medical, financial, and business data.Our Achievements: We proudly stand as the leading organization in the realm of structured data machine learning (ML). Our groundbreaking TabPFN v2 model has been featured in Nature, establishing a new benchmark in tabular machine learning. Following its release, we have significantly enhanced our model capabilities, achieving over 2.5 million downloads and receiving more than 5,500 stars on GitHub. We are witnessing a rapid uptick in adoption from both research and industry sectors as we build the next generation of tabular foundation models and commercialize them with enterprises across Europe and the United States.Our Team: Our team consists of a highly selective group of over 20 engineers and researchers, chosen from a pool of more than 5,000 applicants. We have backgrounds from industry giants such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and receive guidance from eminent AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet our talented team here.What's Next: Supported by top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are on a rapid growth trajectory. This is an exceptional time to join us and help shape the future of structured data AI. Explore our manifesto for further insight.Core Areas of ImpactAs a member of our engineering team, you will contribute to the development of a novel class of AI models. Our latest innovation, TabPFN, significantly surpasses existing methods by orders of magnitude, and we are just getting started. This is a unique opportunity to:Engage in groundbreaking advancements in AI, rather than just incremental enhancements.Influence the future of how organizations globally manage their most critical data.Join us at an opportune moment: we have secured substantial funding (with announcements imminent), achieved strong initial traction (over 100,000 downloads), and are expanding swiftly.At Prior Labs, we prioritize collaboration and integration of research into practical applications. Our Research Engineers play a critical role in bridging the gap between innovative research and real-world implementation.

Sep 11, 2025

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