AI/ML Engineering Intern

Daice Labs; United States; Remote; USD 28,000 - 55,000; Part time

Benefits offered by this job

Paid internship

Job summary

Daice Labs in Brookline, MA is offering an AI/ML Engineering Intern position for a 3-6 month period, remote within the United States. You will work with senior engineers on production ML systems and hybrid AI architectures.

As an intern, you will design and test models, build data pipelines, and contribute to codebase improvements through reviews and documentation. This is a paid internship providing hands-on experience with real-world research.

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

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

Python

ML concepts

Statistical modeling

Data structures

Analytical thinking

Communication

Education

Bachelor's or Master's in CS/DS/AI/ML

Tools

PyTorch

TensorFlow

scikit-learn

Git

Job description

Job Title: AI/ML Engineering Intern

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

Employment Type: Internship

About Daice Labs

Daice Labs, founded by MIT CSAIL scientists, is at the forefront of developing hybrid AI infrastructure designed for long-term, complex tasks. Our technology combines advanced AI models with neurosymbolic methods and bio-inspired system design to enable improved adaptability, verification, and context retention. We prioritize collaboration by empowering human teams to co-build and co-own outcomes while providing tools for governance, persistent context, and domain-specific environments. Our innovative approach fosters adaptive learning, creating reusable building blocks for solutions across varied domains. Join us in shaping the future of governed, continuous-learning AI systems.

About the Role

We are hiring an AI/ML Engineering Intern for a 3-6 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: 3-6 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.