AI/ML Engineering Intern
- Role
- AI / ML
- Experience
- Entry level
- Employment
- Full-time
- Company size
- Startup
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Daice Labs is seeking an AI/ML Engineering Intern for a 3-month remote internship in India. You will work on hybrid AI infrastructure, supporting ML model development, data pipelines, and research efforts under senior guidance. Requires Python proficiency and foundational ML knowledge.
Core skills
Required skills
Optional skills
Required languages
Role OverviewDaice Labs, founded by MIT CSAIL scientists, is at the forefront of developing hybrid AI infrastructure designed for long-term, complex tasks. 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.ResponsibilitiesSupport the design and implementation of machine learning models under the guidance of senior engineersConduct experiments, analyze results, and document findingsAssist in building and maintaining data pipelines and preprocessing workflowsContribute to codebase improvements, testing, and documentationParticipate in team meetings, code reviews, and technical discussionsRequirementsCurrently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related fieldFoundational knowledge of machine learning concepts, statistical modeling, and data structuresProficiency in Python and familiarity with ML libraries such as PyTorch or TensorFlowExperience with data preprocessing and dataset managementStrong analytical and problem-solving skillsClear written and verbal communication skills in EnglishAbility to work independently in a remote environment while meeting deadlinesNice to HavePrior experience contributing to AI/ML research projects or open-source repositoriesFamiliarity with hybrid AI approaches, generative models, or symbolic AIExperience with version control (Git) and collaborative development workflowsSkillsPythonPyTorchTensorFlowGitMachine Learning
What you'll do
- 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
What they require
- 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
Daice Labs, founded by MIT CSAIL scientists, is at the forefront of developing hybrid AI infrastructure designed for long-term, complex tasks.