About The Company
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. As part of our dynamic team, you will work closely with senior engineers and researchers on cutting-edge projects involving hybrid AI architectures and machine learning systems. This role offers a unique opportunity to gain practical experience in deploying and optimizing AI models, contributing to innovative solutions that push the boundaries of current AI capabilities. Your insights and technical skills will directly impact the development of scalable, adaptive AI systems that align with our mission of creating sustainable and governable artificial intelligence.
Qualifications
Applicants should be currently pursuing or have recently completed a Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. A solid understanding of core machine learning concepts, statistical modeling, and data structures is essential. Candidates must demonstrate proficiency in Python and familiarity with popular ML libraries such as PyTorch or TensorFlow. Experience with data preprocessing, dataset management, and building data pipelines is highly valued. Strong analytical, problem-solving, and communication skills are necessary to succeed in a remote environment. The ability to work independently, meet deadlines, and collaborate effectively with a distributed team is crucial.
Responsibilities
- Support the design and implementation of machine learning models under the guidance of senior engineers, ensuring alignment with project objectives and best practices.
- Conduct experiments, analyze results, and document findings thoroughly to inform ongoing research and development efforts.
- Assist in building, maintaining, and optimizing data pipelines and preprocessing workflows to ensure high-quality data for model training and evaluation.
- Contribute to the improvement of codebases through testing, debugging, and documentation, fostering a robust development environment.
- Participate actively in team meetings, code reviews, and technical discussions to enhance project outcomes and share knowledge.
Benefits
This internship offers a competitive stipend, with details discussed during the interview process. You will gain hands-on experience working on innovative AI projects with leading researchers and engineers. The role provides an excellent platform for professional growth, exposure to hybrid AI architectures, and the opportunity to contribute to impactful solutions in the AI domain. Additionally, you will develop valuable skills in machine learning, data management, and collaborative software development, preparing you for future roles in AI research and engineering. The remote nature of the internship offers flexibility and the chance to work from anywhere within India, promoting work-life balance and inclusivity.
Equal Opportunity
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. We are committed to fostering an inclusive environment where diverse perspectives are valued and every individual has the opportunity to thrive.