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.
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
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.
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
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 The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel.
Tide is hiring a VP of Engineering to lead the engineering organisation behind Ongoing Monitoring.
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
Data sits at the heart of the company.
Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems.
Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it s ever at risk.
Build and ship models that predict user value, engagement, and reward behaviour.
Why voize? Because we’re more than just a job!
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigo
The Ranking team at Zalando assists customers in their fashion discovery journey and helps them find what they are looking for.
Make an Impact by: In this role, you will develop models and insights that help predict charging behavior, optimize billing, and improve customer engagement.
Own a platform-level optimization pillar such as quantization, speculative decoding, KV-cache optimization, engine selection, or long-context serving.
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Baut Signierung, Provenienz und Delta-Updates für KI-Modelle als versionierte Pakete und testet sie auf echter Robotik-Hardware.
Leitet ein internationales Risk-Analytics-Team, entwickelt Risikostrategien und unterstützt ML-basierte Modelle für die Kreditentscheidung.
About FION European industry is losing competitiveness because electricity here is more expensive and more volatile than in the US or China.
Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners.
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 Originalanzeige84 geprüfte Stellen bei 58 Arbeitgebern, 5 davon ortsunabhängig. Modelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.