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Data Science Intern (Summer 2027))
C3.ai · Redwood City, United States
About The Role
Join C3 AI as a Data Science Intern for Summer 2027. Work with leading companies to develop AI-powered enterprise applications on the C3 Agentic AI Platform. Collaborate with data scientists, AI engineers, and subject matter experts to define new analytics capabilities and implement AI/machine learning algorithms. Enjoy a range of benefits including paid parental leave, hybrid work options, continuous education opportunities, and more.
- Collaborer avec des scientifiques des données, des ingénieurs en IA et des experts en la matière pour définir de nouvelles capacités analytiques.
- Aider à trouver les algorithmes d'IA/apprentissage automatique appropriés pour répondre aux questions et les mettre en œuvre sur la plateforme C3 Agentic AI.
- Conduire l'adoption des systèmes d'IA et d'IA agentique dans la prochaine génération de produits C3 AI.
- Qualified candidates will have an in-depth knowledge of most common AI, machine learning, and agentic AI techniques and their application. Also, you will understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale
- Familiarity with foundation models and their application to enterprise use cases
- Proficient in spoken and written English
- Applied Machine Learning, Generative AI, and Agentic AI experience (regression and classification, supervised, and unsupervised learning)
- Experience with prototyping languages such as Python and R
- Experience with scalable ML (distributed computing, cloud-native, streaming)
- Ability to drive a project and work both independently and in a team
- Strong mathematical background (linear algebra, calculus, probability, and statistics)
- Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field
- Smart, motivated, can-do attitude, and seeks to make a difference
- Experience with JavaScript and Java
- Experience with time series and dynamical systems
- A portfolio of projects (GitHub, papers, etc.)
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