AI Intern

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystemcomprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 marketsto create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

About the Role

We are seeking a motivated AI Research Intern with a passion for Computer Vision (CV) and Vision-Language Models (VLMs). As an intern, you will work alongside our team of experienced AI researchers and engineers to develop innovative solutions, conduct experiments, and contribute to real-world projects. This internship will provide hands-on experience and an opportunity to deepen your understanding of cutting-edge AI technologies.

Key Responsibilities

• Assist in the development and fine-tuning of computer vision and vision-language models.
• Research state-of-the-art techniques in CV and VLMs to improve existing systems.
• Experiment with large-scale datasets and create robust preprocessing pipelines.
• Conduct performance evaluations of models and present findings to the team.
• Collaborate with cross-functional teams to integrate AI solutions into applications.
• Document experiments, results, and insights for knowledge sharing.

Qualifications

• Education: Pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Programming Skills: Proficiency in Python; experience with libraries like PyTorch, TensorFlow, or JAX.
• AI Knowledge: Familiarity with deep learning concepts, transformers, and pretrained vision-language models
• Computer Vision Experience: Basic understanding of image processing, object detection, segmentation, or related areas.
• Mathematical Foundations: Basic knowledge of linear algebra, probability, and optimization.
• Communication: Ability to clearly document and present technical work.

Preferred Qualifications

• Familiarity with tools for distributed training (e.g., PyTorch Lightning, DDP).
• Previous experience in research or hands-on projects related to CV or VLMs.
• Exposure to evaluation metrics for CV (e.g., mAP, IoU) or VLMs (e.g., retrieval accuracy).

What We Offer

• Mentorship from experts in the field of AI and machine learning.
• Opportunities to contribute to impactful projects and research publications.
• A collaborative and inclusive environment that fosters learning and innovation.
• Access to state-of-the-art computing resources and tools.