招聘
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.
- 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, Air Flow, 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
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About Nokia

Nokia
PublicNokia Corporation is a Finnish multinational telecommunications, information technology, and consumer electronics corporation, originally established as a pulp mill in 1865.
10,001+
Employees
Espoo
Headquarters
Reviews
3.6
25 reviews
Work Life Balance
3.8
Compensation
2.7
Culture
3.9
Career
2.9
Management
2.8
65%
Recommend to a Friend
Pros
Good work-life balance and flexible schedules
Strong company culture and nice people
Excellent benefits and learning opportunities
Cons
Low salary and compensation issues
Limited growth and career opportunities
Frequent leadership changes and lack of direction
Salary Ranges
22 data points
Junior/L3
Mid/L4
Junior/L3 · Global 1830 TAC Engineer
1 reports
$141,314
total / year
Base
$108,703
Stock
-
Bonus
-
$141,314
$141,314
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
57%
Experience
Positive 14%
Neutral 72%
Negative 14%
Interview Process
1
Application Review
2
Technical Phone Screen
3
Technical Interview
4
HR Interview
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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