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AI R&D Engineering Co-op

Nokia

Nokia

Software Engineering, Data Science
United States
Posted on Dec 12, 2025

Number of Positions: 1
Duration: 4 months
Dates: 15th May - 15th Aug (tentatively)
Location: Sunnyvale (On-site)

Education Recommendations:

Currently a candidate for a Master’s or PhD degree in Computer Science or Engineering, Mathematics, 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.

This is an excellent opportunity to contribute to the next generation of AI-driven innovation at Nokia. As a student AI R&D Engineer, you will play a key role in researching and developing advanced AI solutions that leverage Generative AI, autonomous agents, deep learning, and machine learning to enhance a wide range of Nokia products and platforms. Your work will support critical capabilities across analytics, security, and core telecommunications technologies. You will collaborate with experienced researchers, explore new techniques, and help transform cutting-edge ideas into impactful real-world applications.
  • Strong knowledge of machine learning, optimization algorithms, and deep-learning techniques.

  • Experience with leading ML frameworks, such as TensorFlow or PyTorch.

  • Familiarity with search engines, vector databases, and their underlying algorithms.

  • Knowledge of big data frameworks and technologies, including Spark, Kafka, and Cassandra.

  • Excellent communication skills and the ability to collaborate effectively in a team environment.


As part of our team, you will:

  • Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data.
  • Design and implement machine learning models to improve a wide range of applications, including search, forecasting, text mining, and more.
  • Work on implementing machine learning systems for enterprise usecases such as anomaly detection, RAG, training platform, and more.
  • Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more.
  • Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.