Skip to main content
Nokia

AI R&D Engineer Intern

6w

Nokia

US · Full-time · $65,000 – $85,000

About this role

As an AI R&D Engineer student at Nokia, you will engage in R&D of cutting-edge AI solutions. These leverage Generative AI, Agents, Deep Learning, and Machine Learning to power products and platforms from analytics to security and telecom core capabilities. Nokia relies on innovative AI research and applications that you will help build.

Develop and deploy advanced AI models and applications for real-world use. Explore emerging technologies like GenAI and autonomous agents to expand capabilities. Turn ideas into impactful solutions used at a global scale across Nokia platforms.

Collaborate with world-class engineers and researchers at Nokia Bell Labs. Work on connectivity solutions that advance fixed, mobile, and transport networks in the AI era. Contribute to research that secures a brighter world through innovative applications.

Build expertise in machine learning frameworks and big data technologies while delivering production-grade AI. Gain exposure to vector databases, optimization algorithms, and telecom-scale deployments. Shape the future of AI-powered products with a global leader in connectivity.

Requirements

  • Machine learning, optimization algorithms, and deep-learning techniques.
  • Machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Search engines and vector databases, along with their underlying algorithms.
  • Big data frameworks and technologies such as Spark, Kafka, and Cassandra.

Responsibilities

  • Engage in R&D of cutting-edge AI solutions leveraging Generative AI, Agents, Deep Learning, and Machine Learning.
  • Develop and deploy advanced AI models and applications for products and platforms.
  • Explore emerging technologies like GenAI and autonomous agents.
  • Turn ideas into impactful solutions used at a global scale.
  • Collaborate with world-class engineers and researchers on telecom core capabilities.
  • Apply machine learning techniques to analytics, security, and connectivity challenges.