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Artificial Intelligence

AI/ML Engineering Intern

United StatesRemoteFull TimeJunior / Entry-levelPosted 2 months agoVisa sponsorship available

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Role summary

Daice Labs is seeking an AI/ML Engineering Intern for a 3-month remote internship within the United States. The intern will support research and engineering efforts, gaining hands-on experience with production ML systems and hybrid AI architectures under the guidance of senior staff. Responsibilities include assisting with model design and implementation, conducting experiments, analyzing data, maintaining data pipelines, and contributing to codebase improvements. Qualifications include a relevant degree, foundational knowledge of ML and statistics, proficiency in Python and ML libraries like PyTorch or TensorFlow, and experience with data preprocessing. Preferred qualifications include research experience, familiarity with hybrid AI, and Git.

Job Title:
AI/ML Engineering Intern

Location:
Brookline, MA (Remote within the United States)

Employment Type:
Internship

About Daice Labs

Daice Labs is an AI research and product company founded by MIT CSAIL scientists, headquartered in Brookline, MA. The company develops hybrid AI systems that integrate neurosymbolic methods with machine learning to build auditable, adaptive, and governable AI. Daice Labs operates two integrated divisions: a research lab focused on thermodynamically-grounded AI architectures, and Cofabric, a governed AI execution platform for long-horizon collaborative work.

About the Role

We are hiring an AI/ML Engineering Intern for a 3-month internship (with potential for extension) to contribute to our research and engineering efforts remotely within the United States. You will work directly with senior engineers and researchers on active projects, gaining hands-on experience with production ML systems and hybrid AI architectures.

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

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
  • 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

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

Compensation:
This is a paid internship. Details will be discussed during the interview process.

Duration:
3-5 months, with the possibility of extension based on mutual fit and project needs.

Equal Opportunity

Daice Labs is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under national, state, or local law. Applicants with criminal histories will be considered in a manner consistent with applicable state and local laws.

Daice Labs is a compliant corporation in MA with an e-verify account.

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