Decentralized AI Intern

Beschreibung:

Number of Position(s): 2
Duration: 10 Weeks
Date: June - August, 2026
Location: On-site, in Murray Hill, New Jersey.

Education Recommendations

Eligible candidates should currently be pursuing a Master's or Ph.D. in Computer Science, Computer Engineering, or a related field with an accredited school in the US.

The selected candidate will have the opportunity to contribute to a Machine Learning Operations (MLOps) platform, which supports state-of-the-art training and inference features with a focus on sustainable MLOps practices.
The selected candidate will have the opportunity to contribute to a GenAI and AI/ML systems. The selected candidates will work on:
Design and implement research ideas in the field of AI/ML
Work on developing solutions using Deep NN, Reinforcement Learning, Speed up learning approaches, etc.
* Work with different platforms and Proof of Concepts to validate the contributed / proposed solutions
* Build a framework combining concepts in autonomous agents and decentralized systems
* Work on the Auction based network selection approaches
* Explore and get familiar with various open-source software libraries

Ihr Profil:

We are looking for students with the following background and skillset.
* Good knowledge of ML concepts.
* Good knowledge / worked with Deep Reinforcement learning.
* Good knowledge/of working with distributed systems and communication protocols.
* Good knowledge /worked with Language and Multimodal Agents
* Being autonomous with open source libraries (PyTorch, HF Transformers, TRL, Langgraph, CrewAI) and being fluent in Python are pre-requisite.
* Large autonomy in the work, ability to ask for support, good communication, strong attention to details.
* Intermediate/advanced knowledge of Multi Agentic AI systems and Game Theory
* Intermediate/advanced knowledge of Voice Agents and Digital Signal processing
* Intermediate/advanced knowledge of Probabilistic Data Structures.
* Intermediate/advanced knowledge of Microservices - docker-compose, Kubernetes etc.
* Intermediate/advanced knowledge of Finetuning and Preferential Alignment of Large Language Models, Visual Language Models, and Large Reasoning Models
Working knowledge of crypto networks