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- Aufgaben: Support Senior AI/ML Engineers in designing and evaluating GenerativeAI and Large Language Models.
- Arbeitgeber: Join a cutting-edge automotive company focused on next-gen infotainment systems.
- Mitarbeitervorteile: Gain hands-on experience, flexible hours, and the chance to work with innovative technologies.
- Warum dieser Job: Elevate in-car experiences while working on exciting AI projects that shape the future of driving.
- Gewünschte Qualifikationen: Must be a Bachelor or Master student in Computer Science or Data Science with relevant experience.
- Andere Informationen: Ideal for tech-savvy students eager to dive into the world of AI and machine learning.
Position Description
As a Working Student – Machine Learning (GenAI) you will support the Senior AI/ML Engineers in the design and evaluation of GenerativeAI and Large Language Models.
In this role, you will:
- Support our Senior AI/ML Engineers in the design and evaluation of LLM prompts and agents to be used in combination with modern knowledge databases and RAG
- Collect, analyze, prepare and structure datasets for fine-tuning, validation and testing state-of-the-art LLMs to be used in the next-generation automative infotainment middleware
- Create and test real-world user scenarios to elevate the future in-car experience across different car-lines worldwide
What you will need to succeed:
- Active study program as Bachelor or Master student in the field of Computer Science, Data Science or equivalent
- First hands-on experience with in-context-learning, few-shot-learning and creating LLM-powered applications (e.g. Chatbots, information retrieval, document summarization)
- Fundamental knowledge in state-of-the-art LLMs, RAG and vector/graph databases (e.g. OpenSearch, ElasticSearch, Jina, Neo4j)
- Proficiency in Python, Painless
Working Student – Machine Learning (GenAI) (f/m/d) Arbeitgeber: Cinemo GmbH
Kontaktperson:
Cinemo GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student – Machine Learning (GenAI) (f/m/d)
✨Tip Number 1
Make sure to familiarize yourself with the latest advancements in Generative AI and Large Language Models. Follow relevant blogs, research papers, and online courses to deepen your understanding and showcase your knowledge during the interview.
✨Tip Number 2
Engage with the AI/ML community on platforms like GitHub or Kaggle. Contributing to open-source projects or participating in competitions can help you gain practical experience and demonstrate your skills to us.
✨Tip Number 3
Prepare to discuss specific projects where you've applied in-context learning or few-shot learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Tip Number 4
Network with professionals in the field through LinkedIn or local meetups. Building connections can provide valuable insights into the industry and may even lead to referrals for our open positions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student – Machine Learning (GenAI) (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Working Student – Machine Learning position. Familiarize yourself with Generative AI, Large Language Models, and the specific technologies mentioned in the job description.
Tailor Your CV: Highlight your relevant experience in machine learning, data science, and programming. Include any projects or coursework that demonstrate your hands-on experience with LLMs, in-context learning, and Python proficiency.
Craft a Compelling Cover Letter: Write a cover letter that connects your academic background and practical experiences to the role. Emphasize your enthusiasm for working with AI/ML technologies and how you can contribute to enhancing the in-car experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism.
Wie du dich auf ein Vorstellungsgespräch bei Cinemo GmbH vorbereitest
✨Showcase Your Projects
Be prepared to discuss any relevant projects you've worked on, especially those involving LLMs or generative AI. Highlight your hands-on experience with in-context learning and few-shot learning, as this will demonstrate your practical knowledge.
✨Understand the Technology
Make sure you have a solid understanding of state-of-the-art LLMs and their applications. Familiarize yourself with concepts like RAG and vector/graph databases, as well as tools like OpenSearch and Neo4j, to show that you're well-versed in the technologies relevant to the role.
✨Prepare for Technical Questions
Expect technical questions related to Python programming and machine learning concepts. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your analytical abilities and technical proficiency.
✨Demonstrate Your Passion
Express your enthusiasm for the field of AI and machine learning. Share your thoughts on current trends and future developments in generative AI, and explain why you're excited about contributing to the automotive infotainment space.
