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
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.
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.
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.
Design and implement scalable data ingestion pipelines for structured and unstructured data sources, including manufacturing systems, edge d
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine le
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
You have - a MSc or PhD in mathematics or physics - a creative mind that likes to solve problems - interest in modern machine learning approaches (experience in deep learning is a bonus) - solid programming experiences (Python is a bonus) Minimum type of documents to attach: - CV (mandatory) - (Uni) Degree(s) (mandatory) - Transcripts (where applicable) - Project Portfolio (optional) Why us? You will work with an interdisciplinary team of people with a solid background in mathematics and statistics. We offer flexible working hours (full and part time) and have a nice office with good coffee in Berlin Kreuzberg, close to Moritzplatz.
We prefer a hybrid work model, but are open to remote work. We believe in science and support with publishing your research results. Here are short descriptions of some projects we have worked on: Estimate the amount of solar panels that fit on a roof (computer vision): Given a satellite picture and a ground image of a house, automatically detect certain elements of a roof (including obstacles, dormers etc.) in order to find out how many solar panels fit on it.
This involves inferring 3d information from 2d pictures in order to infer the roof pitch. Detect, classify and suggest legal effectiveness of text paragraphs (NLP): Automatically go through thousands of legal documents with the goal to classify dedicated paragraphs and check their legal effectiveness. This involves converting scans to text, coming up with a labelling scheme (problem modeling), and detecting different paragraphs automatically, before tackling the inference task.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently. You will - support the dida team in applying cutting-edge machine learning algorithms - experiment with model architectures to find the best solution for each specific project - keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environment.
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