Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
About the role
- Working student position for AI & ML Engineer at Fraunhofer HHI. Involves developing AI-driven design platforms for architectural projects.
Responsibilities
- Design and train deep learning models (CNNs, GNNs) to generate 2D floor plans
- Expand our data pipelines — from ingesting architectural drawings through preprocessing and augmentation to label creation and versioning
- Apply mathematical and analytical thinking to solve complex spatial and geometric challenges
- Write reliable, well-structured code and optimize the performance of our tools and prototypes
- Test new methods, run experiments, and contribute ideas to improve our models and products
Requirements
- You are currently a student (B.Sc./M.Sc.) in Computer Science, Machine Learning, Data Science, or a related field at a university in Berlin or Brandenburg
- Solid knowledge of Python and practical experience with PyTorch or similar deep learning frameworks
- Familiarity with GPU workflows and distributed training setups
- Experience in preprocessing, augmentation, and dataset organization; confident use of NumPy and Pandas
- Ability to identify and troubleshoot issues in training and inference pipelines
- Clear communicator with a desire to collaborate in a dynamic startup environment
- You read research papers, reproduce experiments, and translate findings into working code
- Fluent English skills (German is a plus but not required)
Benefits
- Extremely interesting challenges in a research-driven and entrepreneurial environment
- Attractive salary
- Modern, well-equipped workplace in a central location
- Positive and highly collaborative working atmosphere within an international team
- Flexible working hours
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
Senior Platform/MLOps Engineer designing and maintaining scalable infrastructure for AI at Bright Machines. Join a team transforming manufacturing through intelligent automation.
CO
AI/ML Risk Guide enhancing risk management within Capital One's Tech and Product teams. Collaborating on risk solutions that impact customer experience and stability.
Staff Machine Learning Engineer developing content and creator classification systems for Patreon’s platform insights. Collaborating across teams to enhance discovery and recommendations for creators and fans.
Machine Learning Co - op working on sales and collection AI chatbot projects at Lendbuzz. Gaining experience with data annotation, cleaning, and multilingual model evaluation.
AI Prompt Senior Engineer developing and optimizing large language models for TIAA. Collaborating cross - functionally to create innovative AI solutions with a focus on data science.
Machine Learning Engineer transforming research - driven models into scalable systems. Join Shalion in an international team focused on e - commerce intelligence.
Team Lead Machine Learning overseeing production systems for sustainability analytics using satellite imagery and ML. Leading a technical team to drive innovative geospatial solutions.