AI/ML Engineering Intern

Daice Labs Inc.; India; Remote; INR 201,000 - 402,000; Full time

Benefits offered by this job

Paid internship

Job summary

Daice Labs Inc. is seeking an AI/ML Engineering Intern to contribute to research and engineering efforts from India for a 3-6 month remote internship.

You will work with senior engineers and researchers on production ML systems and hybrid AI architectures, gaining hands-on experience in real-world projects. The role requires pursuing or recent completion of a Bachelor’s or Master’s in CS/DS/AI, strong Python skills, and familiarity with PyTorch or TensorFlow.

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 in English
• Ability to work independently in a remote environment while meeting deadlines

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

Analytical thinking

Problem-solving

English communication

Independent work

Remote collaboration

Education

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

Tools

Python

PyTorch

TensorFlow

Git

Job description

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-month internship (with potential for extension) to contribute to our research and engineering efforts remotely from India. 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 in English
• Ability to work independently in a remote environment while meeting deadlines

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

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.

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, or any other characteristic protected under applicable law.