Bell Labs Machine Learning and AI Intern
Nokia
Software Engineering, Data Science
United States
Posted on Dec 1, 2025
Number of Positions: 4
Duration: 10 weeks
Date: June-August 2026
Location: Remote or Onsite in Murray Hill, New Jersey.
Education Recommendations
Currently a candidate for a PhD in Computer Science, Electrical Engineering, Statistics, or a related field with an accredited school in the US.
About Nokia
Join us in creating the technology that helps the world act together.
We are a B2B technology innovation leader, pioneering networks that sense, think and act™, putting the world’s people, machines and devices in sync to create a more sustainable, productive and accessible future.
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.
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.
Join Nokia Bell Labs as a Machine Learning and AI Intern student and work with the Statistics and Data Science Research Group. You’ll collaborate with statisticians, computer scientists, and engineers to advance state-of-the-art Machine Learning and AI techniques and solutions. In this role, you’ll prototype systems to showcase research innovations and may even contribute to publications in top conferences and journals. The environment is collaborative and supportive, giving you the chance to learn, grow, and contribute to research that drives a more innovative and inclusive future.
- Proven ability to design and implement innovative AI and machine learning algorithms.
- Strong algorithmic reasoning and software development skills, with expertise in PyTorch.
- Published research in reputable conferences and journals demonstrating scholarly contribution.
It Would Be Nice If You Also Had
- Knowledge or research experience in Agentic AI and autonomous decision-making systems.
- Experience training and evaluating models through pre-training, fine-tuning, and reinforcement learning.
As part of our team, you will:
- Research and develop advanced machine learning and AI algorithms to address complex problems.
- Evaluate model and algorithm performance using both real-world and large-scale simulated datasets.
- Design and prototype experimental systems that demonstrate and validate research innovations.
- Propose, investigate, and publish novel research in top-tier conferences and peer-reviewed journals.