Machina learning állások Németországban (it programozás, fejlesztés)

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

• You will build 3D geometry models representing real-world Automotive Radar & ADAS scenarios
• You will run electromagnetic simulations using the Asymptotic Solver in CST Studio Suite and analyze KPIs

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• Architect and implement AI solutions within SAP systems to enhance business processes and decision-making.
• Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP.

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology...

Where you belong: Where you belong: ...

Where you belong: Where you belong: ...

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints

• Help establish yourself as a key contact for AI-related topics at customers
• Support the design of SAP Business AI architectures aligned with customer business strategy
• Develop AI Strategies for our customers
• Translate strategic AI initiatives into measurable business value

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

• Development of computational linguistic methods for the recognition and interpretation of (multimodal) metaphors
• Exploring the use of deep learning and LLMs for metaphor analysis
• Creation of annotated corpora and datasets
• Collaboration in an interdisciplinary team

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• Develop computer vision models to analyze surgical videos, including action recognition, instrument usage, and relevant interactions
• Build and annotate a suitable dataset in close collaboration with other project staff; develop annotation and quality-assurance tools

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Bring-up of new hardware in close cooperation with our electrical teams, providing robust interfaces for our high-level application teams
• Create drivers for new boards, components and sensors (e.g. optical & lightning)
• Evaluate new hardware based on EVK and development kits

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...