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.
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.
About Us
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
- Flexible and hybrid working schemes to balance study, work, and life
- Professional development events and networking opportunities
- Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
- Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
- Employee Growth Solutions, mentorship programs, and coaching support for your career development
- A learning environment that fosters both personal growth and professional development – for your role and beyond
Top Skills
What We Do
At Nokia, we create technology that helps the world act together.
As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs.
Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
