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AI/ML Intern

Nokia

Nokia

Software Engineering, Data Science
United States
Posted on Jan 31, 2026

Number of positions: 1

Duration: 10 weeks

Date: June - August, 2026

Location: Hybrid in Dallas, TX

EDUCATIONAL RECOMMENDATIONS

Currently a candidate pursuing a bachelor's or master's degree in Computer Science, Computer Engineering, or related field with an accredited university in the USA.


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.



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 us as an ML/AI Intern and help build AI‑driven workflows that transform how large‑scale messaging systems are analyzed and troubleshot. You’ll dive into real platform data, prototype intelligent models, and craft Python‑powered micro‑services alongside senior engineers to turn complex operational challenges into smart, automated solutions. Step into a role where your ideas can shape the future of intelligent systems.
  • Familiarity with SW programming for AI Agentic frameworks and data analytics
  • Strong grasp of algorithms and data structures, and the capability to apply them to solve practical, real-world challenges efficiently.
  • A proactive, inquisitive mindset paired with a can-do attitude toward learning new technologies, tools, and concepts in a dynamic environment.

It would be nice if you had:

  • Exposure to AI / Machine Learning through coursework, projects, research, hackathons, or personal initiatives
  • Experience with data processing pipelines or big-data technologies (e.g., Spark, Hadoop, streaming frameworks)
  • Familiarity with distributed systems concepts and cloud-native technologies such as Docker and Kubernetes
  • Ability to analyze problems, design experiments, evaluate performance, and debug complex system behavior
  • Strong written and verbal communication skills, with the ability to explain technical ideas clearly

  • Design and prototype AI-assisted or agent-based workflows to automate analysis, validation, or troubleshooting of messaging systems
  • Analyze messaging and platform data (logs, metrics, events) to identify patterns, anomalies, or performance issues using Python and data analytics techniques
  • Build proof-of-concept AI/ML models or heuristics to enhance reliability, scalability, or observability of messaging solutions
  • Develop Python scripts or micro-services to process data, generate insights, or integrate with existing platforms and APIs
  • Collaborate with senior engineers to translate real operational problems into AI-driven solutions, document findings, and present results