Working Student in Signal Processing and Machine Learning at Fraunhofer Institute for Integrated Circuits. Involved in research and application - oriented projects with flexible hours and learning opportunities.
About the role
- Machine Learning Intern working on developing GenAI applications and fundamental AI toolkit solutions at Kensho. Collaborative environment fostering technical growth and innovation in machine learning.
Responsibilities
- Apply advanced NLP techniques to extract insights from large proprietary unstructured and structured datasets
- Design, build, and maintain scalable production-ready ML systems
- Participate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in production
- Partner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementation
- Work in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional products
Requirements
- Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
- Experience in designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance to enhance user experiences
- Experience with advanced machine learning methods
- Statistical knowledge, intuition, and experience modeling real data
- Expertise in Python and Python-based ML frameworks (e.g.,LangGraph, Pydantic AI, PyTorch)
- Demonstrated effective coding, documentation, and communication habits
- Strong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience.
Benefits
- Opportunity to attend technical and non-technical discussions
- Company wide social events
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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