Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies
is particularly suited to students considering a future PhD who want to develop their ability to investigate research questions, evaluate id
We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills.
Location EAC, Porz-Wahn, Germany Our team and mission The CAVES and PANGAEA team specialises in training programmes that equip astronauts an
Entwicklung von Computer-Vision-Lösungen für Qualitätskontrolle und Anomalieerkennung, von der Datenerfassung bis zum Modell im Einsatz - Im
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.
AI Engineer Intern AI Engineer Intern You can find all of our job offers by clicking.
Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks.
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
Collaborate with our core development team to bring machine learning into production - Support the design and training of ML models on large
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
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
Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys combinati
Place of Employment: Aachen und Jülich Start Date: To the next possible date Salary: Pay group 13 (80%) TVöD-Bund Application Deadline: The
Interne KI-Nutzung Analyse interner Arbeitsprozesse und Identifikation von Automatisierungspotenzialen Einsatz unseres unternehmensinternen
Hier gestaltest du nicht abstrakte Datenmodelle, sondern schaffst echten Mehrwert.
Entwickelt mit Robotik-Kernteam Wahrnehmungs-, Planungs- und Lernverfahren für autonome Bauroboter und integriert sie in industrielle Systeme.
will include: Become familiar with vacuum technology, gas dynamics, process chambers, and sensor systems.
Entwicklung, Implementierung und Optimierung von Machine-Learning-Modellen auf PoC Level Skalierung von Machine-Learning-Modellen für den Ei
Weiterentwicklung eines datengetriebenen Modells in PyTorch als Proxy eines CFD Strömungslösers Entwicklung eines semi-parametrischen Modell
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Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Minimum Qualifications Currently enrolled in a PhD program in Computer Science, Robotics, Artificial Intelligence, Machine Learning, Computer Vision, or a related technical field. Strong knowledge of machine learning and deep learning. Experience with PyTorch and Python.
Experience in at least one of: Computer vision Autonomous driving Multimodal/Vision-Language Models Robotics Ability to develop and evaluate research ideas independently. Strong written and verbal communication skills in English. Preferred Qualifications Research experience in end-to-end autonomous driving, behavior prediction, trajectory prediction, or robotics.
Experience with VLMs/VLM evaluation, foundation models, or multimodal representation learning. Experience working with large-scale datasets and data-selection or active-learning techniques. Familiarity with closed-loop simulation or autonomous-driving evaluation.
Publications or demonstrated research experience at major machine-learning, computer-vision, or robotics venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, or ICRA. What You Will Gain This internship offers the opportunity to conduct applied research at the intersection of autonomous driving, multimodal foundation models, and data-centric AI. The research has the potential to contribute directly to scalable data-flywheel systems in production for autonomous driving, connecting vehicle evaluation, failure discovery, intelligent data selection, and model retraining.
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Applicants : Qualcomm is an equal opportunity employer.
If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies.
Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.
Stunden: 32 - 40 Stunden
Company:Qualcomm Technologies GmbHJob Area:Interns Group, Interns Group > Workstudy InternGeneral Summary:PhD Company: Qualcomm Technologies GmbH Job Area: Interns Group, Interns Group > Workstudy Intern General Summary: PhD Internship: Data-Centric AI for End-to-End Autonomous Driving Location: Munich / Unterschleißheim, Germany Duration: 6 months Area: Autonomous Driving, End-to-End AI, Vision-Language Models, Data-Centric AI We are looking for a highly motivated PhD student to join our AI Systems team in Munich and conduct research on automated data curation for end-to-end autonomous driving systems. Modern end-to-end driving models depend heavily on the quality, diversity, and relevance of their training data. Large-scale driving datasets, however, contain substantial redundancy while rare and safety-critical situations remain difficult to identify systematically.
The goal of this internship is to develop data-centric AI techniques that automatically identify model weaknesses and translate observed real world driving failures into improved training datasets. The work will move beyond general data selection towards fine-grained, model-aware data curation using trajectory and action information, multimodal representations, and potentially Vision-Language Models (VLMs).
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.