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Nokia

AI R&D Engineer Co-op

Nokia is hiring an AI R&D Engineer Co-op. Level rates it ; you can apply on Nokia.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch and TensorFlow.
  • Level lists 576 other open roles at Nokia.

AI in this role

pytorchtensorflow

Number of Position(s): 1
Duration: 4 Months
Date: January–May 2027,
Location:  Onsite in Sunnyvale, CA


Education Recommendations:

Currently a candidate for a Master’s or PhD in Computer Science, Electrical Engineering, or a closely related field with an accredited school in the US. 

  • 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. 
  • 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.  
  • 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. 
  • Excellent communication skills and is a team player

How we rate this

AI R&D Engineer Co-op at Nokia rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchTensorFlow

Questions you could be asked

  1. What's a project where you used PyTorch hands-on?
  2. Walk me through how you've used TensorFlow in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: PyTorch and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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