AI/ML Engineering Intern
Daice Labs
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- ETLPythonPyTorchTensorFlowData structures & algorithmsStatistics
- Nice to have
- Machine learningGitNLPComputer vision
- Work
- On-site in United States · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python68%PyTorch26%ETL19%TensorFlow18%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 8, 2026 · still open
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About Daice Labs
Daice Labs, founded by MIT CSAIL scientists, is developing hybrid AI infrastructure for long-term, complex tasks. Their technology combines advanced AI models with neurosymbolic methods and system-level design for improved adaptability, verification, and context retention. They empower human teams to co-build and co-own outcomes with tools for governance, persistent context, and domain-specific environments, fostering adaptive learning and reusable building blocks.
About the Role
AI/ML Engineering Intern for a 3-6 month internship (with potential for extension), working remotely within the United States. You will support research and engineering efforts, gaining hands-on experience with production ML systems and hybrid AI architectures under the guidance of senior engineers and researchers.
Key Responsibilities
- Support the design and implementation of machine learning models.
- 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.
Requirements & Tech Stack
- Proficiency in Python.
- Familiarity with ML libraries such as PyTorch or TensorFlow.
- Experience with data preprocessing and dataset management.
- Ability to work independently in a remote environment while meeting deadlines.
- Must be authorized to work in the United States.
Qualifications
- 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.
- Strong analytical and problem-solving skills.
- Clear written and verbal communication skills.
Preferred
- 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.
This is a paid internship. Duration: 3-6 months, with the possibility of extension.