Machine Learning Engineer
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
We are looking for an experienced (Senior) AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning
We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI.
Betreibt und skaliert GPU-Cluster für das Training tabellarischer Foundation Models, inklusive Scheduling, Kostenoptimierung und CI/CD-Pipelines.
Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS - Architect and build Swift-first, pro
Steuert Lieferprogramme für Trainingsdaten (Text, Bild, Video, Audio) für KI-Labore und baut QC-Prozesse mit Human-in-the-Loop auf.
Bringt jedes TabPFN-Modell-Release über SAP, Cloud-Marketplaces und Kundenumgebungen live und koordiniert dafür Engineering und Partnerteams.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
& THE TEAM Join our dynamic Logistics Network Planning team, where you’ll be at the forefront of shaping the future of Zalando’s logistics operations.
& THE TEAM The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel.
As a Staff Machine Learning Engineer, you will help shape and advance our Recommendations product.
Tide is hiring a VP of Engineering to lead the engineering organisation behind Ongoing Monitoring.
Change the way the world travels Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide.
As a Senior Applied AI Engineer on our AI Platform team, you take AI at bunch from working to relied upon.
SoundCloud empowers artists and fans to connect and share through music.
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from mode
Verantwortet JetBrains Context als Produkt: Zielgruppen, Roadmap und Erfolgsmetriken für die Retrieval-Schicht, die Coding-Agenten mit Wissen versorgt.
Baut und betreibt AWS-Infrastruktur, die Agenten und LLM-Services sicher, beobachtbar und kostenkontrolliert von Prototyp in den Produktivbetrieb bringt.
Baut KI-Lösungen mit LLMs und Agenten direkt in Kundenumgebungen, bringt sie in Produktion und setzt die technische Architektur fest.
You’ll identify open AI opportunities, build them from start to finish, and bring them to real users.
Make an Impact by: - Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS - Own
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
: - Build physical AI for the world s largest off-highway machinery – making them intelligent, safe, and ready for every tough task - Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors - Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment - Tailor your own career path, whether you like to become technical specialist or technical team lead - Experience a great team culture, beverages, and an amazing office environment
: - Attractive compensation package and stock options. - Beverages on-site and regular social events. - Engage with top-tier researchers, engineers, and thought leaders. - Influence the future of robotic technologies and tackle significant technological challenges. - Assistance with relocation to Berlin.
Heavy machinery, light years ahead. sensmore automates the world s largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training. We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.
We are proudly backed by Point Nine and other Tier 1 investors.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials are extracted, moved, and processed. Its automation system transforms heavy machines into intelligent, automated robots powered by Physical AI and vertically integrates them into the full production environment: from the machine and safety infrastructure to network infrastructure, site processes, and operational interfaces. Co-developed with customers, sensmore is backed by Point Nine Capital, leading industry investors, the State of Brandenburg, and the European Union.
Role Overview: We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal sensor fusion. The successful candidate will lead the development of real-time perception systems that enable autonomous heavy machinery to understand and operate in harsh, unstructured environments.
Key Responsibilities: - Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction. - Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway autonomous vehicles. - Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs for physical AI. - Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs. - Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation. - Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack. Required Qualifications: - Master s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field. - Proficient in Python; strong experience with PyTorch. - Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar). - Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin). - Solid understanding of machine learning, deep learning, and autonomous systems. Preferred Skills: - Experience with transformer-based perception architectures or VLA models. - Familiarity with BEV perception and multitask learning. - Experience with C++, ROS, and mmdetection. - Experience with perception in off-road, adverse-weather, or otherwise challenging conditions. - Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige222 geprüfte Stellen bei 138 Arbeitgebern, 29 davon ortsunabhängig. 91 in der KI-Entwicklung, 70 in Integration & Automatisierung.