AI/ML Engineering Intern

Job Title: AI/ML Engineering InternLocation: Brookline, MA (Remote within the United States)Employment Type: InternshipAbout 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 3-6 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.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 discussionsQualificationsCurrently 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 skillsAbility to work independently in a remote environment while meeting deadlinesMust be authorized to work in the United StatesPreferredPrior 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 workflowsCoursework or projects in NLP, computer vision, or reinforcement learningCompensation: 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, 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.