Job details

AI Research Intern

About Sentient

At Sentient, we’re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem.

Fueled by our expertise in distributed systems, cryptography, and AI, we’re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past – Sentient’s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity.

Imagine being part of a team that’s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI.

Sentient is backed by leading Silicon Valley venture capital firms including Founders’ Fund, Pantera, and Framework.

Responsibilities

Work part-time or full-time during the year with the core Sentient Research team
Conduct cutting-edge generative AI research in a fast-paced environment
Design new agent architectures to improve end-to-end performance of AI workflows
Design, run, and evaluate experiments to improve LLMs on various benchmarks
Execute data engineering tasks to curate data for LLM pre-training, fine-tuning, RAG
Integrate and evaluate models with multi-modal capabilities for different verticals
Read conference papers on generative AI and knowledge retrieval to understand and evaluate new research in the space
Replicate, evaluate, and integrate theoretical data-curation approaches, fine-tuning algorithms, and agent architectures from research papers into real products
Set up fine-tuning and evaluation pipelines on AWS, GCP, and other compute providers
Manage AI workload compute resources and monitoring, keeping track of experiments and assessing results

Required Qualifications

Hands-on experience in generative AI research and/or engineering, whether in industry or through academic work during the Bachelor’s / Master’s / PhD degree with corresponding published work
Demonstrated expertise in deep learning and transformer models
Mastery of Python (PyTorch, numpy, agentic frameworks) for building AI workflows, fine-tuning models, and writing evaluations
Strong foundation in data structures, algorithms, and software engineering principles
Familiarity with methods for training LLMs (distillation, supervised fine-tuning, policy optimization)
Excellent problem-solving and analytical skills, with a proactive approach to challenges

Values

Appreciate and pursue deep expertise
Embrace extreme ownership and bias for action
Want to take risks and act upon ambition with integrity and empathy
Pursue relentless innovation and experimentation
Invest in personal growth and team collaboratio

Benefits

Competitive salary
Flexible PTO and WFH policy
Top-of-the-line engineers and technology
Opportunity to shape the direction of a pioneering open AI platform

What You Should Know About AI Research Intern, Sentient

Are you ready to dive into the exciting world of artificial intelligence with Sentient as an AI Research Intern? At Sentient, we're redefining the future of decentralized artificial general intelligence (AGI), and we're looking for passionate interns to join our innovative team. In this role, you’ll have the unique opportunity to work part-time or full-time with our core research team, where you'll engage in cutting-edge generative AI research. Your responsibilities will include designing new agent architectures, conducting experiments to enhance LLMs, and integrating models with multi-modal capabilities. Whether you're set on pursuing research or engineering, you'll gain hands-on experience in a fast-paced environment as you execute data engineering tasks essential for training and fine-tuning AI models. With guidance from industry-leading experts, you’ll read and evaluate conference papers, replicate theoretical approaches, and manage AI workload compute resources on platforms like AWS and GCP. The position requires proficiency in Python and a solid understanding of deep learning, making it ideal for those with hands-on experience during their academic journey. At Sentient, we value ownership, innovation, and personal growth. Join us, and be part of a groundbreaking effort to democratize AI development, where you can contribute to an open-source ecosystem that fosters collaboration and transparency. With competitive benefits including a flexible PTO and the chance to work with top-tier engineers, this is an unbeatable opportunity to kickstart your career in AI!

Frequently Asked Questions (FAQs) for AI Research Intern Role at Sentient

What does an AI Research Intern do at Sentient?

As an AI Research Intern at Sentient, you will engage in pioneering generative AI research, contribute to designing advanced agent architectures, run experiments to enhance LLMs, and execute data engineering tasks to curate datasets for training. You will also integrate and evaluate AI models across various applications, providing you a hands-on experience in real-world AI projects.