Mandatory Internship (Machine Learning, AI, Computer Science) in a Fashion Tech startup
Full-Time / Hybrid or Remote Work within NRW (All genders)
Who we are
Stoodio.AI is is a Cologne based Joint Venture of Nurogames GmbH, Nuromedia GmbH and SHK UG. As one leading startup in AI-generated fashion imagery it pushes the boundaries of fashion photography and design by harnessing the power of Generative AI to help increasing efficiency and conversions while slashing the launch time and creating stunning visuals. Our Goal: We’re here to reshape the fashion industry with a sustainable and added value generating impact.
Our Culture – Four Good Reasons To Work With Us
- Also at this New Venture, people matter. That means: Be as you are. This is the basis of our successful collaboration. No fake – no show!
- We live diversity – in the truest sense of the word. Colleagues from 22 different nations work for us.
- Independent and responsible work, paired with an entrepreneurial mindset, characterize our everyday work.
- What else you should know: Yes – we all make mistakes sometimes. This is not the end of the world, because we learn from them and grow from them.
Your New Learning Curve – To The Next Possible Time
Currently we are seeking an intern who is studying Machine Learning/Artificial Intelligence or Computer Science to work with us for three to six months. Additional it is also possible to write the matser thesis with us. The ideal candidate is passionate for AI and its applications in the fashion industry. As a new college you will contribute to the research, development and enhancement of our generative AI SaaS platform, focusing on creating professional fashion visuals rapidly and efficiently.
Your Tasks
- Research and develop advanced machine learning models to improve the generative capabilities of stoodio.AI’s platform
- Collaborate with the AI team to integrate new models into the existing systems
- Analyze and interpret complex datasets to enhance image generation quality, focusing on fashion imagery
- Document and present research findings in a comprehensive thesis aligned with academic requirements
Your Profile
- Enrolled in a Master’s program in Computer Science, Machine Learning, Artificial Intelligence, or a related field in an NRW-based University
- Proven academic background in machine learning, deep learning, computer vision, or related areas
- Prior experience or coursework in image processing or generative models is highly desirable
- Proficiency in programming languages such as Python, Java, or C++
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
Must have
- Familiarity with image processing and generating techniques and tools
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
- Ability to work independently and manage time effectively
- And a good portion of humour and positiveness
What We Offer
- Hybrid or remote work within NRW (Germany)
- Opportunity to work on cutting-edge AI technology in the fashion domain
- Oppotunity to join as a fulltime employee at a growing startup after your graduation
- Close mentoring and guidance from experienced professionals in the field
- Exposure to a dynamic startup environment with a diverse and inclusive team
- Potential for the thesis work to contribute significantly to stoodio.AI’s product development
We are looking for your application / CV incl. current study certificate you to send to the founder’s email address yash@stoodio.ai including information about your start date and your duration of your mandatory internship.
Contact
stoodio.ai
Yash Shekhawat (Founder)
Schaafenstr. 25
50676 Köln
Tel.: +49 221 39880840
Fax: +49 221 3988004
Hiring Company
Nuromedia GmbH
Start of employment
ASAP
Type of employment
Limited
Full-time
Location
Within NRW
Hybrid working from contract location Germany/Cologne or working remotely within NRW
Germany: Schaafenstraße 25, 50676, Köln (Cologne), NRW
Application
Interested? Then we look forward to receiving your application by mail in German or English: yash@stoodio.ai