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Internship Database Engineering (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue the...

• Collaborate on quality inspection algorithms in challenging applications for factory environments
• Investigate potential of foundation models for industrial quality inspection
• Investigate XAI algorithms for Vision Language models

Software Engineer (m/f/d) MF Group is a subsidiary of Riverty and part of the Bertelsmann Group. Around 120 employees work across two locations in Switzerland to make invoice-based purchasing with flexible installment payments even simpler and safer for Swiss retailers. As a leading Swiss provider,...

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

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

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

Internship Data Analytics (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue the...

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

• 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.

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• 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

As part of our team, you'll help push the state-of-the-art in model scalability by contributing to the core systems for our products....

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

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

• 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

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

• 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)

• Ensure data quality within the Corporate Data Domain
• Perform data‑quality checks and drive corrective actions
• Analyse root causes of data issues and coordinate resolution
• Own and maintain the Corporate First Line Data Domain from a business perspective