SpreeAI is a fast-growing, innovative AI technology company with a core focus on revolutionizing the ecommerce and fashion landscapes. We thrive in a dynamic, fast-paced environment where creativity meets technology. Our mission is to revolutionize the fashion industry by creating cutting-edge technology solutions that drive real impact. If you are passionate about technology, fashion, shaping the future, and have a knack for social media, your spot is here with us! We are proud to announce that the iconic Naomi Campbell has recently joined our board, marking a significant milestone in our journey.

Key Focus Areas:

• Research: Conduct cutting-edge research in computer vision, machine learning, and large foundational models.
• Engineering: Develop scalable AI models and algorithms for our Virtual Tryon product line.
• Mentorship: Receive mentorship from senior AI researchers and engineers throughout the program. You will be guided to improve your research, coding, and problem-solving skills.
• Collaboration: Work closely with teams from across SpreeAI’s ML department to turn research into deployable solutions.

Responsibilities:

• AI Model Development: Work on the full lifecycle of AI models, from ideation and research to training, testing, and deployment.
• Research: Conduct research and experiments to push the state of the art in AI. Publish findings in top-tier conferences and journals where applicable.
• Problem Solving: Tackle complex challenges in AI, using advanced techniques in machine learning such as autoencoder, GAN, diffusion, model distillation, or unsupervised learning.
• Prototyping: Build and refine prototypes to demonstrate the potential of new AI technologies and algorithms.
• Collaboration: Partner with other AI residents, research scientists, engineers, and product teams to create innovative AI solutions that align with SpreeAI's long-term goals.

Requirements

• Education: Bachelor's, or Master's. in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or a related field with a minimum GPA of 3.2/4.0 or 8.0/10 is. Candidates with equivalent practical experience are also encouraged to apply.

• Mathematic Skills: Proven solid mathematics background.
• Programming Skills: Proficiency in one or more programming languages commonly used in AI and machine learning, such as Python or C++. Experience with AI/ML libraries and PyTorch.
• Machine Learning Expertise: Solid understanding of machine learning, deep learning algorithms, and model evaluation techniques. 
• Problem-Solving Skills: Demonstrated ability to analyze complex problems, create hypotheses, and deliver creative and effective AI solutions.
• Teamwork: Strong interpersonal skills and the ability to work effectively in a collaborative, fast-paced environment.

Preferred Qualifications:

• Previous experience in an AI, machine learning, or data science internship.
• Experience working on research projects, academic publications, or contributions to open-source AI/ML projects.
• Familiarity with cloud computing.
• Passion for AI ethics, and responsible AI development.

Benefits

• Mentorship: Access to industry-leading experts in AI research and development.
• Networking: Build relationships with fellow residents, senior AI researchers, and professionals across the AI community.
• Publication Opportunities: Co-author research papers for publication in top AI and ML conferences.
• Career Growth: Gain hands-on experience that can lead to future roles in AI research or engineering at SpreeAI or elsewhere in the industry.
• Competitive Stipend: Receive a competitive salary with benefits during the program duration.