[Remote] AI/ML Engineering Intern

Note: The job is a remote job and is open to candidates in USA. Daice Labs develops hybrid AI infrastructure for complex, long-term tasks. The AI/ML Engineering Intern supports research and engineering projects, including production machine learning systems and hybrid AI architectures, while working with senior engineers and researchers.

Responsibilities

• Support the design and implementation of machine learning models under the guidance of senior engineers
• Conduct experiments, analyze results, and document findings
• Assist in building and maintaining data pipelines and preprocessing workflows
• Contribute to codebase improvements, testing, and documentation
• Participate in team meetings, code reviews, and technical discussions

Skills

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field
• Foundational knowledge of machine learning concepts, statistical modeling, and data structures
• Proficiency in Python and familiarity with ML libraries such as PyTorch or TensorFlow
• Experience with data preprocessing and dataset management
• Strong analytical and problem-solving skills
• Clear written and verbal communication skills
• Ability to work independently in a remote environment while meeting deadlines
• Must be authorized to work in the United States
• Prior experience contributing to AI/ML research projects or open-source repositories
• Familiarity with hybrid AI approaches, generative models, or symbolic AI
• Experience with version control (Git) and collaborative development workflows
• Coursework or projects in NLP, computer vision, or reinforcement learning

Benefits

• Remote within the United States

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