Machine learning Intern

Shuffle is an innovative and sustainable fashion start-up based in Amsterdam. Our mission is to create an accessible and fun circular fashion community. We are a decentralized platform that empowers all stakeholders of sustainable fashion, including users, stylists, sustainable fashion brands, and influencers. As we grow, we prioritize giving decision-making power to our community members. In addition, we have a unique 'Use to Earn' feature that rewards our active users. At Shuffle, sustainable styling is one of our core features, aiming to revolutionize the fashion industry.

Internship Description:

We are seeking a highly motivated and talented individual for an Erasmus internship focused on Machine Learning at Shuffle. As an intern, you will have the opportunity to work closely with our passionate team and contribute to our mission of creating a sustainable fashion community. This internship is an unpaid position and is ideal for students or recent graduates seeking practical experience in the field of Machine Learning within the fashion industry.

Responsibilities:

• Collaborate with our data scientists and developers to enhance our machine learning models.
• Assist in the development and improvement of algorithms for sustainable styling recommendations.
• Collect and preprocess fashion-related data to train and evaluate machine learning models.
• Conduct exploratory data analysis to identify patterns and insights in fashion data.
• Participate in brainstorming sessions to generate new ideas for enhancing the user experience.
• Stay up-to-date with the latest developments and advancements in machine learning and fashion technology.

Requirements:

• Currently enrolled in a relevant Bachelor's or Master's degree program or a recent graduate.
• Strong understanding of machine learning concepts and algorithms.
• Proficient in programming languages such as Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with data preprocessing techniques and feature engineering.
• Knowledge of natural language processing (NLP) and computer vision algorithms is a plus.
• Passionate about sustainability and circular fashion.
• Excellent problem-solving skills and ability to work independently and as part of a team.
• Strong communication skills in English.

Benefits:

• Gain hands-on experience in applying machine learning techniques to real-world fashion data.
• Work in a dynamic and fast-paced start-up environment in the vibrant city of Amsterdam.
• Collaborate with a diverse and talented team that values innovation and sustainability.
• Opportunity to contribute to the development of a revolutionary platform and shape the future of sustainable fashion.
• Receive guidance and mentorship from experienced professionals in the field.

Please note that this is an unpaid internship position. As an Erasmus intern, you will be responsible for securing funding or any necessary financial support during your internship period.

How to Apply:

To apply for this Erasmus internship at Shuffle, please send your resume, a cover letter outlining your interest in sustainable fashion and machine learning, and any relevant portfolio or project work to [email protected]. Applications will be reviewed on a rolling basis, and only shortlisted candidates will be contacted for further steps.

We look forward to receiving your application and working together to revolutionize the sustainable fashion industry through machine learning and community empowerment!