Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)

Description

Scaling foundation models for business logic and world models on structured datasets at enterprise software provider. 5+ years professional machine learning experience and hands-on data engineering skills required. Flexible working models, focus on health and well-being.

Requirements

• •PhD, Master’s degree in computer science, or relevant discipline
• •5+ years of professional Machine Learning experience
• •Ownership of scalable machine learning environments
• •Knowledge of Foundation Models on Structured Data
• •Hands-on experience in Data Engineering
• •Fluency in Python and coding ability
• •Experience with SAP Application data models (plus)
• •Strong communication and collaboration skills

Tasks

• •Advance foundation models on structured data
• •Explore world models for business problems
• •Define scalable data and training environments
• •Lead the creation of training and benchmark datasets
• •Integrate semantic context with large-scale business data
• •Collaborate on evaluation frameworks and benchmark suites
• •Drive exploration of novel tasks
• •Make design decisions for underlying technologies
• •Execute scientific experiments on internal and public data
• •Drive open-source model and software contributions
• •Publish research at scientific conferences

Tools & Technologies

Benefits