Technical Intern

Role Description

For this position, you will be working with one of Centific’s major clients. We are seeking applied scientist interns who possess strong research skills, a proven track record of leading projects related to large language models, and the ability to quickly conceptualize and implement innovative ideas to advance state-of-the-art AI systems.

• Keeping a keen eye on the latest developments in the broad AI community.
• Working with science, engineering, and program management teams to integrate the latest large language models (LLMs) such as OpenAI models and open-source models into production systems.
• Collaborating with other researchers, data scientists, product managers, and engineers in the team to build tools and improve the end-to-end AI Quality of our production systems.
• Leveraging data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs.
• Effectively communicating and demonstrating work to stakeholders.

Qualifications

• Currently pursuing a master’s or PhD in Computer Science, Statistics, Electrical or Computer Engineering, or a related technical discipline.
• 2+ years of experience in machine learning (ML) or artificial intelligence (AI).
• Proficiency with deep learning libraries such as PyTorch or TensorFlow.

Requirements

• Currently enrolled in a PhD program in Computer Science or related field, with a research focus on natural language processing (NLP), reinforcement learning, deep learning, or related areas.
• Publications at top-tier NLP/ML/AI conferences, e.g., NeurIPs, ICML, ICLR, EMNLP, ACL.
• Experience in fine-tuning or evaluating large language models (LLMs) or AI agents.

Benefits

• Payrate: $40/hr.

Company Description

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 mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers.