AI/ML Engineering Intern
Daice Labs
Job Title: AI/ML Engineering InternLocation: India (Remote)Employment Type: Internship
About Daice LabsDaice 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 RoleWe 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 discussions
QualificationsCurrently 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 deadlines
PreferredPrior 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 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.
Equal OpportunityDaice 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.
About Daice LabsDaice 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 RoleWe 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 discussions
QualificationsCurrently 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 deadlines
PreferredPrior 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 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.
Equal OpportunityDaice 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.
Vacancy posted 17 days ago
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