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.

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 (Py Torch, 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.

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.