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Master Thesis - Training Small Language Models, Synthesis of Training Data, and Evaluation Strategy - Job Opportunity at CARIAD SE

Munich, Germany
Internship
Entry-level
Posted: January 23, 2025
Hybrid
EUR 2000-2500 per month for thesis position based on German market standards for automotive sector

Benefits

Flexible remote work options within Germany
35-hour work week supporting work-life balance
Opportunity to work on cutting-edge automotive AI projects
Integration into professional AI development team

Key Responsibilities

Research and implement fine-tuning methodologies for open-source small language models
Develop and maintain data generation pipelines for synthetic training data
Design and implement comprehensive evaluation frameworks for SLM performance assessment
Collaborate with AI specialists on mobility solutions development

Requirements

Education

Currently enrolled in Master's degree in Computer Science, Electrical Engineering, or equivalent field

Required Skills

Python programming Machine learning background Understanding of large language models (LLMs) Team collaboration English fluency
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Sauge AI Market Intelligence

Industry Trends

Automotive sector is experiencing rapid transformation towards AI-powered user experiences and autonomous systems. Small Language Models are gaining prominence as efficient alternatives to large models, especially in embedded systems. Synthetic data generation is becoming crucial for training specialized AI models in the automotive sector. There's increasing focus on edge computing and efficient AI models for vehicle systems

Role Significance

Likely part of a specialized AI research team of 5-10 members within larger technology organization
Entry-level research position with significant potential impact on production AI systems

Key Projects

Development of efficient language models for vehicle interfaces Creation of synthetic training data pipelines Implementation of evaluation frameworks for production AI systems Integration of AI models into automotive software systems

Success Factors

Strong theoretical understanding of language models and their optimization Ability to develop efficient data generation pipelines Skill in creating robust evaluation metrics Understanding of automotive industry requirements and constraints Effective collaboration with cross-functional teams

Market Demand

High demand for AI specialists in automotive sector, particularly for those with experience in efficient model development and deployment

Important Skills

Critical Skills

Python programming for implementing AI solutions Understanding of language models and their optimization Data pipeline development skills Evaluation methodology expertise

Beneficial Skills

Automotive software development experience Knowledge of embedded systems Understanding of data privacy and security Experience with model compression techniques

Unique Aspects

Direct involvement in developing AI systems for major automotive brands
Opportunity to work on efficiency-focused AI implementations
Access to real-world automotive use cases and data
Integration with major automotive software development processes

Career Growth

3-6 months thesis duration with potential for full-time employment afterwards

Potential Next Roles

AI Research Engineer Machine Learning Engineer Natural Language Processing Specialist Automotive AI System Architect

Company Overview

CARIAD SE

CARIAD is the dedicated software and technology company of the Volkswagen Group, developing advanced automotive software solutions

Major player in automotive software development with significant resources and market influence
Strong presence in German automotive technology sector with multiple development centers
Innovation-focused environment with emphasis on collaboration and cutting-edge technology development
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