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Nokia

Software Dev AI/ML Coop

Posted 2 Days Ago
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Remote or Hybrid
2 Locations
Internship
Remote or Hybrid
2 Locations
Internship
As a Software Dev AI/ML Co-op, you will improve cloud computing technologies, work on AI/ML pipelines, and code in Python and C++ for model implementations.
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Position: Software Dev AI/ML Co-op
Number of Position(s): 1
Duration: 3 Months+
Date: May 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.

Responsibilities

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
Qualifications
  • 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.
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. 

Learn more about life at Nokia.


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 Team
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.

Top Skills

AI
Airflow
C++
Jupyter Notebooks
Kubernetes
Machine Learning
Mlflow
Python
Scikit Learn

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