Paid Remote AI/ML Engineer Intern – Hybrid AI Systems

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

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.