Be responsible for a core pillar of Stenon’s products Scale our soil nutrient modelling to support more and more regions across the world Ov
Company team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.3 million SMB cust
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
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.
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
You will have ownership over designing, building, and scaling the core systems that bring Prior Labs foundation models to the world.
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
At Helsing, we are pioneering the future of autonomous decision-making for defence.
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
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Taktile empowers financial institutions to transform into truly AI-native organizations.
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
As an AI Engineer, with focus on A/ML-Ops, you ll collaborate closely with our product and tech team to bring AI-driven features reliably in
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Be responsible for a core pillar of Stenon’s products Scale our soil nutrient modelling to support more and more regions across the world Oversee planning, execution and delivery of Data Science projects. Contribute to the Data Science strategy, vision and roadmap, enhancing Stenon’s agronomy intelligence layer to support additional features and enable new data sources Work with a variety of data from spectral sensor data via chemical lab analysis results to spatial fertilization maps. What you
At least 5+ years of hands-on experience in Data Science products Advanced Degree in Engineering or Science Exceptional understanding of statistical and fundamental machine learning concepts Experience writing and maintaining python code, incl. common libraries like scikit, pytorch as well as ML-Ops infrastructure like MLflow, DVC High degree of autonomy Ability to translate complex statistical or machine learning concepts into digestible information for non-technical audiences Experience across the machine learning product lifecycle : defining success metrics, model evaluation and validation, deployment, monitoring and iteration, in collaboration with data engineers A strong sense for data and code quality and the ability to push for high standards High-dimensional sensor/signal data processing expertise Proven track record of managing complex projects from start to finish in a fast paced environment Experience leading or mentoring team members Good communication and English language skills - verbal and written You may have Experience in geo-spatial products Knowledge of agronomy or agriculture, sensor/IoT data, or field trials Understanding of sensor hardware, physical measurement principles and real world noise characteristics ML Ops or Data Engineering knowledge, like Docker, CI/
Ownership & Growth: A key role in a fast-growing scale-up where you own your area of responsibility with flat hierarchies and fast decision-making. Real-World Impact: Design products that go directly into the hands of farmers, solving global food production and climate challenges. Collaborative Culture: Work in a highly productive, international team that values hands-on development and mutual support.
Work-Life Balance: A permanent full-time role offering adaptable schedules to accommodate your lifestyle. Flexible Location: Choose between hybrid or fully remote options across Germany, featuring one mandatory monthly collaboration day in Potsdam for team cohesion and alignment. Remote Setup Support: A dedicated financial allowance to help you optimize your home workspace Learning Budget: Invest in your professional growth with an annual allowance dedicated to courses, conferences, books and certifications Year-End Break: Enjoy a paid company-wide closure between Christmas and New Year to recharge and spend time with loved ones.
Seamless Commuting: Choose between an ABC Berlin/Potsdam travel pass or a Deutschland-Ticket to keep you mobile. Team Spirit: Annual company retreats to warmer climates (last year we went to Gran Canaria), regular social events, and a fully stocked kitchen with coffee, tea, and snacks. Why Us?
We are changing how farmers understand and manage their soil, moving from lab-based analysis to real-time insights directly in the field. We value transparency, ownership, and continuous improvement, and we believe great products come from teams that respect and support each other. We set high standards, reward performance, and foster a positive, constructive feedback culture.
About Stenon GmbH At Stenon we are on a mission to democratize soil data. We have become the global market leader in real-time, digital soil data. This provides farmers with essential insights to make optimal and sustainable cultivation decisions, boosting yield, crop quality, and soil health while saving money on inputs.
Stenon has closed an $18 million Series B financing round to scale real-time nitrogen and soil data management and is expanding internationally. Position We seek a versatile and experienced Senior Data Scientist, that drives and expands our existing soil nutrient machine learning as well as new data-driven features that support our customers in making better agronomic decisions for their fields using real-time soil data.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige91 geprüfte Stellen bei 59 Arbeitgebern, 9 davon ortsunabhängig. Modelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.