AI Engineering Co-op

Nokia is hiring an AI Engineering Co-op. Level rates it ; you can apply on Nokia.

Level's read on this job

Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, TensorFlow and AI agents.
Level lists 568 other open roles at Nokia.

AI in this role

pytorchtensorflow

ai-agents

Duration: 4 months
Date: Jan 2027 - Apr 2027
Location: Sunnyvale, Ca

Educational Requirements:
The candidate should currently be pursing a Master's or Doctorate Degree in Engineering, Computer Science or Mathematics from an accredited US institution.

Collaborate with world-class engineers and researchers.
Develop and deploy advanced AI models and applications.
Explore emerging technologies like GenAI and autonomous agents.
Turn ideas into impactful solutions used at a global scale.

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 Engineering Co-op at Nokia rates 94 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

AI Engineering Co-op is an open job at Nokia.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in United States.
The job was posted on October 6, 2026.
Applications are handled by Nokia. Apply on Nokia

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsPyTorchTensorFlow

Also common in AI engineer jobs at this level

Python LLM AI agents AWS Azure RAG

Pay

Typical AI engineer job: $184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
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: AI agents, 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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