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- Aufgaben: Support Senior AI/ML Engineers in designing and evaluating Computer Vision models.
- Arbeitgeber: Join a cutting-edge tech company focused on next-gen automotive infotainment.
- Mitarbeitervorteile: Gain hands-on experience while studying, with flexible hours to fit your schedule.
- Warum dieser Job: Dive into the exciting world of AI and machine learning with real-world applications.
- Gewünschte Qualifikationen: Must be a Bachelor or Master student in Computer Science or related fields.
- Andere Informationen: Ideal for those passionate about technology and eager to learn in a dynamic environment.
Position Description
As a Working Student – Machine Learning (Video) you will support the Senior AI/ML Engineers in the design and evaluation of Computer Vision machine learning models.
In this role, you will:
- Support our Senior AI/ML Engineers in the design, training and evaluation of Computer Vision and Video ML models and underlying software architecture
- Collect, analyze, prepare and structure datasets for training, validation and testing state-of-the-art Computer Vision ML models and technologies to be used in the next-generation automotive infotainment middleware
- Process image/video data, applying techniques for pre-processing, normalization and data augmentation to improve model robustness
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 Computer Vision (e.g. face detection, object detection, image classification, scene segmentation or action recognition)
- Good knowledge in Machine Learning, Deep Learning and Transformer
- Practical experience in training, fine-tuning, validation and evaluation of ML models
- Proficiency in Python, C/C++, OpenCV, PyTorch, TensorFlow, Keras
Working Student – Machine Learning (Video) (f/m/d) Arbeitgeber: Cinemo GmbH
Kontaktperson:
Cinemo GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student – Machine Learning (Video) (f/m/d)
✨Tip Number 1
Make sure to showcase any relevant projects or coursework related to Computer Vision and Machine Learning. Highlight specific techniques you've used, such as face detection or image classification, to demonstrate your hands-on experience.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in Computer Vision and Machine Learning. Being able to discuss recent advancements or tools during your interview can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field through platforms like LinkedIn or local meetups. Engaging with others who work in AI/ML can provide valuable insights and potentially lead to referrals for our open positions.
✨Tip Number 4
Prepare to discuss your experience with Python, C/C++, and frameworks like PyTorch or TensorFlow. Be ready to explain how you've applied these skills in practical scenarios, as technical proficiency is crucial for this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student – Machine Learning (Video) (f/m/d)
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize any hands-on experience you have with Computer Vision and Machine Learning. Mention specific projects or coursework that demonstrate your skills in face detection, object detection, or image classification.
Showcase Technical Skills: Clearly list your proficiency in programming languages and frameworks such as Python, C/C++, OpenCV, PyTorch, TensorFlow, and Keras. Provide examples of how you've used these tools in your studies or projects.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to align with the job description. Use keywords from the job posting to show that you understand the role and its requirements.
Express Your Passion for AI/ML: In your application, convey your enthusiasm for machine learning and computer vision. Share why you are interested in this field and how you see yourself contributing to the team.
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 Computer Vision. Highlight your role, the technologies you used, and the outcomes of your work.
✨Brush Up on ML Concepts
Make sure you have a solid understanding of key Machine Learning concepts, particularly in Deep Learning and Transformers. Be ready to explain how these concepts apply to Computer Vision tasks.
✨Demonstrate Your Coding Skills
Since proficiency in Python and C/C++ is crucial, practice coding problems related to image processing and ML model training. You might be asked to solve a problem or write a small piece of code during the interview.
✨Prepare Questions
Think of insightful questions to ask your interviewers about their current projects or challenges they face in the field of Computer Vision. This shows your genuine interest and enthusiasm for the role.
