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Software Dev AI/ML Coop

Nokia

Nokia

Software Engineering, Data Science
United States
Posted on Dec 16, 2025

Position: Software Dev AI/ML Co-op
Number of Position(s): 1
Duration: 3 Months+
Date: May 2026 to August 2026
Location: Naperville, IL - Hybrid

The team you'll be part of

You will be part of the Cloud Mobility Manager (CMM) within Nokia's CNS Division. The CMM delivers a converged packet core solution that addresses 5G (AMF), 4G LTE (MME), and even 2G/3G in a fully cloud-native architecture. Invent 5G with us, and be part of a diverse, multi-site world-class R&D team!


Education Recommendations

Currently a candidate pursuing a bachelors or masters degree in Data Science, Computer Science, Computer Engineering, or a related field with an accredited school in the 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

In Cloud and Network Services, as Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.


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 as a Software Dev AI/ML Co-op and contribute to advancing Virtualization and Cloud Computing technologies! You will work on exciting projects involving Container Technology and Kubernetes while developing AI and ML pipelines. Collaborate with our diverse global R&D team to support our mission of inventing 5G. You'll have the unique opportunity to delve into Data Analytics and Machine Learning, coding in C++ and Python, and implementing models for data pipelines, including LLMs, and LSTM architectures. Be part of shaping the future of connectivity with us!
  • Pursuing a Data Science degree or degree in a similar field with some experience in data classification models, time series, and large language models.
  • Python proficiency, C++/C language knowledge
  • Experience with the Exploratory Data Analysis (EDA) process - end to end, including projects utilizing the EDA
  • Jupyter Notebooks and knowledge of common AI prototyping tools/libraries.

It would be nice if you also had:

  • Networking IP Knowledge (IPv6/IPv4), familiarity with Linux, Git, and AI tools: MLFlow, AirFlow, and Scikit Learn.

Work on technologies to improve development & prototyping in Virtualization/Cloud Computing including technologies like:

  • Container Technology/Kubernetes platforms
  • Artificial Intelligence and Machine Learning pipelines

Contribute to a project in ONE of the following areas:

  • Data analytics/Machine Learning, including Exploratory Data Analysis
  • Coding in C++/C and Python which will be used in the implementation of models for data pipeline (training, serving, testing)
  • LSTM models, Embedding Models, Large Language Models (LLM) - encoders/decoders