Machine Learning Researcher (all genders) - Hybrid, Berlin
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
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.
Your mission Join our ranking team and build the intelligent systems at the core of Cosuno s platform.
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
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.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda.
on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
Build the Market Leader in Satellite Analytics with us at LiveEO Mission of this position (overall summary of the purpose, some comments abo
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.
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.
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.
You’ll identify open AI opportunities, build them from start to finish, and bring them to real users.
Data sits at the heart of the company.
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
Role highlights: - Senior MLOps Engineer, ISR - Location: Berlin, Germany - Department: ISR Analytics - Reports to: VP of ISR Analytics - Em
We are looking for a Senior Software Engineer to join the AI Platform Team at Smartly!
Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it s ever at risk.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
You have - a MSc or PhD in mathematics, physic, computer science or a related field - published academic papers; machine learning related papers are a plus - a creative mind that likes to solve problems - grounded knowledge about machine learning and deep learning in particular 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 You will - work on machine learning research projects, in particular addressing the question of how machine learning methodologies can be further improved in order to achieve better performances in relevant applications; those applications are likely to be connected to either computer vision or natural language processing, however, also more general methodological questions might be of interest (e.g. meta learning, hyperparameter search, efficient training of neural networks) - also work on transferring theoretical insights to practical use cases which are usually part of respective research projects, with the goal of setting new industry standards - be able to publish your results in relevant journals or at machine learning conferences such as ICML, NeurIPS or ICLR - foster our strong connections to academia, keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environment - support the dida team in applying cutting-edge machine learning algorithms
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.