Nokia

GenAI/ML Systems Research Intern

Murray Hill, NJ US
AI Machine Learning MLOps
Description

GenAI/ML Systems Research Intern

Location: United States

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.

 

About Us

Advancing connectivity to secure a brighter world.

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. 



About the Business Group

The Strategy and Technology organization drives Nokia’s future innovation by identifying value-creation opportunities, setting a unified company vision, and developing coherent business, technology, and architecture strategies. It establishes a research foundation for new products and solutions while providing critical infrastructure to support secure and effective execution across all Nokia business units.

Nokia Bell Labs, the world-renowned industrial research arm of Nokia has pioneered breakthrough foundational technologies over the past 100 years like the transistor, laser, Unix, and solar cell - shaping modern communications, computing and connectivity. Today, it drives innovation in AI, quantum computing, 6G, and space communications, bridging groundbreaking research to real-world applications with meaningful impact on society. With ten Nobel Prizes and five Turing Awards, Nokia Bell Labs continues to define the future of technology.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

About the Organization

Some of our benefits for students in the US:
  • 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

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.
This is a great opportunity to contribute to Nokia’s next generation of AI and machine learning platforms. You will support the development of advanced MLOps, GenAI, and AI/ML systems that enable efficient, scalable, and sustainable model training and inference across diverse environments. Your work will help strengthen Nokia’s ability to deliver high-performance AI services, optimize real-world deployments, and accelerate innovation across cloud, edge, RAN, and emerging intelligent platforms.
Nokia
Nokia

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