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
Company Overview