greenteg AG develops high-tech thermal sensing solutions for an international customer base.
In order to support the Data Processing & Analytics department, Airbus Defence and Space is looking for an Intern as a Digital-Twin Spacecra
Baut Power-BI-Dashboards für KPIs, analysiert Produktionsdaten und prototypisiert erste KI-Lösungen für Prozessverbesserungen.
Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies
Focus: Building and developing software applications with a focus on APIs and GenAI-based solutions in client projects - You work as part of
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.
will include, but are not limited to: - Monitor and research state-of-the-art developments in Edge AI, including model optimization, AI comp
About We are looking for a motivated Working Student to support our AI Engineering team in developing and testing practical AI-driven applic
We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills.
Location ESOC, Darmstadt, Germany Our team and mission The Ground Systems Engineering and Innovation Department is responsible for all the
Location EAC, Porz-Wahn, Germany Our team and mission The CAVES and PANGAEA team specialises in training programmes that equip astronauts an
Testet kamerabasierte Gelenkbewegungserfassung und Release-Builds der App, prüft Analytics-Daten und automatisiert Tests mit KI-Tools.
Als Teil des Research- & Knowledge-Management-Teams spielst du eine wichtige Rolle bei der Gewinnung, Strukturierung und Weitergabe von Wiss
Analyse realer Verfahrens- und Dokumentationsprozesse Entwicklung und Durchführung von Anwendungs- und Testfällen Mitwirkung bei Prompting-,
Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee.
Entwicklung von Computer-Vision-Lösungen für Qualitätskontrolle und Anomalieerkennung, von der Datenerfassung bis zum Modell im Einsatz - Im
The Data and Analytics division (DAA1) is Munich Re s hub for data, analytics, and AI-driven innovation.
Entwickelt und implementiert Compiler-Passes und Optimierungen für ML-Workloads auf eigenen ASICs und baut Entwicklertooling für den ML-Compiler.
Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Entwicklung eines Humanoiden-Roboter-Showcases: Gehen lernen, Aufgaben per Sprache entgegennehmen und mit generativer KI lösen.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
If you are a member or alumni of a Formula Student team, this is exclusively for you - applying to this role ensures that the people you int
Who are we? Cohere is the leading security-first enterprise AI company.
As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore h
Entwickelt Softwarekomponenten in C++ und entwickelt sowie evaluiert CV- und ML-Algorithmen für KI-gestützte robotische Chirurgie.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Valid swiss work permit or EU/EFTA citizenship Strong proficiency in Python with experience in scientific and ML libraries (NumPy, SciPy, scikit-learn, TensorFlow, PyTorch) Solid understanding of data analysis, statistics, and machine learning fundamentals Strong problem-solving skills and ability to translate real-world problems into robust solutions Ability to clearly communicate technical findings to both technical and non-technical stakeholders English proficiency at C1 level
: 20 annual paid vacation days (at 100% workload). A stimulating role in high-tech manufacturing, involving diverse technologies. Collaborative participation in enhancing company processes. An energetic and international team. Flexible worktime, option for 1-2 remote days per week (at 100% workload). Regular social events, teambuilding, BBQ, free coffee and snacks. Interested? – Join us! Send your application CV and a short cover letter. Very important! You will recieve a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
greenteg AG develops high-tech thermal sensing solutions for an international customer base. In addition to industrial sensors, we provide a unique core body temperature measurement solution (CALERA®) for wearable devices. Our technology enables a wide range of applications, including sports performance optimization, continuous and non-invasive patient monitoring, ovulation tracking, sleep analysis, and early disease detection and is integrated by various international customers on different type of wearable devices.
All solutions are developed, manufactured, and commercialized at our headquarters in Zürich-Rümlang, where interdisciplinary teams collaborate across hardware engineering, embedded systems, and machine learning. Location: Rümlang, Switzerland Workload: 80–100% Start Date: Jan 2027 or upon agreement. Important Note: You will receive a link with the confirmation email to fill out a form.
We will not process your application if you fail to fill out the form. Tasks To strengthen our R&D team, we are seeking a Data Scientist Intern – Wearables & Sensor Data to help our customers along the way to successfully integrate our solutions into their wearable products. You need to understand the needs and demands of each customer and make sure that our machine learning models can meet their requirements.
Main tasks: Calibrate sensors and evaluate the performance of our machine learning models on customer devices. Plan and conduct data collection and validation studies. Analyze, visualize, and report model performance issues observed in real-world usage.
Develop Python tools and pipelines to support customer integration and troubleshooting. Simulate model performance under varying sensor characteristics (e.g., noise, sampling rate, signal quality). (Optional) Support compilation and deployment of embedded ML libraries on target devices.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.