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
of an Engineering Manager at Canonical As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility
Sprachmodelle in Fachanwendungen integrieren: RAG mit Retrieval und Reranking, Tool-Calling, MCP-Server, Multi-Agent-Abläufe Evaluierung auf
is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Remote dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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Own business impact, not features.
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Überwacht KI-gestützte Aussendungen und Kampagnen, prüft KI-Ergebnisse auf Fehler, baut eigene KI-Automatisierungen und wertet Marketingzahlen aus.
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At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
For hundreds of thousands of European entrepreneurs, our iOS app is Finom.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
Your mission Join our ranking team and build the intelligent systems at the core of Cosuno s platform.
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud.
Hostaway is seeking a highly motivated Senior Backend Engineer to join the Core team.
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Virtusan is a Swiss based health coaching platform for sleep, stress and recovery that works with any wearable, including our own smart ring.
Du machst Machine Learning produktionsreif: Du entwickelst skalierbare Daten- und Modell-Pipelines auf AWS und bringst Machine-Learning-Mode
Build the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work.
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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.
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Zur OriginalanzeigeHier stehen ausschließlich Stellen, die ortsunabhängig ausgeschrieben sind. Anzeigen, die Homeoffice an einzelnen Tagen erlauben, laufen unter Hybrid und nicht hier, denn wer ortsunabhängig sucht, will nicht pendeln. Diese Unterscheidung trifft kijobs selbst: Die Quellen weisen sie nicht aus, erkannt wird sie aus Titel, Ortsangabe und Anzeigentext, und im Zweifel ordnen wir vorsichtig ein, lieber hybrid als remote. Beachte dabei, dass remote selten weltweit heißt. Viele Arbeitgeber verlangen einen Wohnsitz im selben Land oder zumindest innerhalb der EU, und das steht meist erst im Anzeigentext.