Research Engineer (f/m/d)
Create & Innovate: Actively participate in the conceptualization phase.
Create & Innovate: Actively participate in the conceptualization phase.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
You will have ownership over designing, building, and scaling the core systems that bring Prior Labs foundation models to the world.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We are looking for software engineers with expertise in ML-first perception, prediction or planning for autonomous vehicles or mobile robots.
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Optimiert und betreibt die Trainingsinfrastruktur für generative Audiomodelle: GPU-Profiling, verteiltes Training und SLURM-Cluster.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight.
Intro We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation,
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs throu
Warum dieser Job gelistet ist
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Create & Innovate: Actively participate in the conceptualization phase. Brainstorm novel ways to improve our products and provide immediate, practical feedback to steer exploratory research toward paths that are both impactful and engineering-feasible. - Develop Agentic Workflows: Design, prototype, and validate intelligent agentic systems and automated workflows that facilitate writing clean code, identifying root causes of system issues, and remediating complex bugs and vulnerabilities. - Develop Pragmatic Prototypes: Build hands-on prototypes that prove the viability and scalability of research concepts. Proactively identify engineering bottlenecks or scalability limits and propose effective mitigations early in the research phase. - Evaluate & Benchmark: Drive the rigorous evaluation of new product features.
Construct high-quality datasets, define relevant success metrics, and implement comprehensive benchmarks leveraging Sonar’s existing IP alongside third-party and open-source AI tools. - Engineer Data Pipelines: Build and manage robust data pipelines to gather, process, and version massive code-centric datasets required for training and evaluating specialized models at scale. - Translate Prototypes to Products: Collaborate closely with engineering and product teams to integrate successful prototypes into Sonar s cutting-edge products, ensuring they meet the needs of our global user base. - Communicate and Evangelize: Clearly articulate and document complex technical concepts and research findings to both technical and non-technical stakeholders Experience and qualifications
Advanced academic background in Computer Science, Machine Learning, or a related quantitative field. - Strong software engineering experience (minimum 2+ years in industry) with proficiency in Python and major modern programming languages. - Practical experience with modern agentic frameworks, software automation tools, and LLM architectures. - Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy. - Hands-on experience integrating third-party tools, program analysis frameworks, or open-source libraries into functional prototypes. - Proven experience in data handling: constructing high-quality datasets, defining objective success metrics, and building robust benchmarks for new solutions. - The ability to fast context-switch and maintain momentum across multiple concurrent, fast-moving research topics. - Excellent communication skills in English, with a talent for translating complex research findings into clear, actionable artifacts for product engineering squads. Plus: - Background in static analysis: abstract syntax trees (ASTs), code security, bug detection, etc. - Familiarity with LLM techniques such as model fine-tuning, semantic search engines, etc. - Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS).
Additional comments This role is based in Bochum. We are unable to consider candidates unwilling to be in Bochum, but we are willing to relocate the right candidate.
Position description At Sonar, we are seeking an innovative Research Engineer to join our Data & Agentic team and pioneer the next generation of our code analysis and verification engines. You will be at the forefront of applying cutting-edge AI, advanced agentic workflow and static analysis techniques to complex source code. Your work will directly shape our core products—ensuring both AI-generated and developer-written code meets rigorous enterprise quality and security standards.
If you are driven to turn state-of-the-art research into practical, high-impact solutions, this is the role for you.
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