AI/ML Residency Program

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Requirements:

• 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.
• Solid mathematics background.
• 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.
• Solid understanding of machine learning, deep learning algorithms, and model evaluation techniques.
• Demonstrated ability to analyze complex problems and deliver creative AI solutions.
• Strong interpersonal skills and ability to work in a collaborative environment.

Responsibilities:

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