Technical Intern

 Posted 2 months ago
     
0-2 years experience
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AI Summary

The intern will conduct research and solve real-world problems by pushing the boundaries of technology in AI and machine learning. They will collaborate with industry experts to develop and apply innovative solutions in fields such as NLP, Computer Vision, and LLMs.

About Centific

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 ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to 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

🌟 Exciting Opportunity for PhD / Masters Researchers! Join Our PhD Research Internship Program! 🌟 

 

Are you a PhD / MS student working in NLP, Computer Vision, LLMs, VLMs, Responsible AI and passionate about solving a real-world problem by pushing the boundaries of technology? Do you want to delve into the latest industry advancements in NLP, Computer Vision, Machine Learning, and more? We're thrilled to announce our PhD Research Internship Program, where academic innovation meets industry expertise! 

 

💡Internship Focus Areas: 

- Natural Language Processing (NLP) 

- Computer Vision 

- Machine Learning 

- Large Language Models (LLM) 

- Vision-Language Models (VLM) 

- Retrieval-Augmented Generation (RAG) 

- Agentic Framework 

- Reinforcement Learning  

- Federated Learning / Differential Privacy 

- Red Teaming 

- ML Ops 

- LLM Ops / Observability 

 

💡Technical Skills Required: 

- Proficiency in Python 

- Expertise in PyTorch and TensorFlow 

- Expertise in one or more of RAG, Vector DBs, LLM Fine-tuning,  

- Strong understanding of Transformer Architecture 

- Familiarity with Flow-based models 

 

🚀 What We Offer: 

- Competitive stipend package 

- Hands-on experience with cutting-edge AI ML industry projects 

- Collaboration with industry experts and leading researchers 

- Opportunities to publish research and attend conferences 

- A supportive and enriching environment to foster innovation 

 

🌐 Who Should Apply? 

- PhD / MS / M Tech candidates with a zeal for research and innovation 

- Individuals eager to work on transformative technologies 

- Enthusiasts who enjoy solving complex challenges in AI and ML domains 

 

🔗 Apply Now: Send an email to diana.moeck@centific.com 

 

Join us in shaping the future of technology and make your research stand out with real-world applications. Share this opportunity with your network and tag someone who might be interested! 

 

#ResearchInternship #PhD #NLP #ComputerVision #MachineLearning #AIResearch #InnovateWithUs #InternshipProgram 

Rate: $40 Per Hour

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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