INTERNSHIP DETAILS

AI R&D Engineer Co-op

CompanyNokia
LocationSunnyvale
Work ModeOn Site
PostedOctober 1, 2026
Internship Information
Core Responsibilities
Design, develop, and deploy advanced AI/ML models and agentic-based systems to interpret complex data and improve applications. Optimize existing machine learning pipelines for performance, scalability, and resource efficiency.
Internship Type
full time
Salary Range
$24 - $73
Company Size
1913
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Infinera is now part of Nokia. Infinera is revolutionizing telecommunications networks with innovative, industry-leading connectivity solutions. Our offerings include high-end subcomponent technology, systems for network infrastructure, automation software, advanced optical compound semiconductor manufacturing, & professional services. As a global supplier, we empower mobile service providers, internet content providers, cloud operators, submarine operators, governments & enterprises to scale network bandwidth, boost service innovation, and automate network operations. We are committed to continuously expanding and enhancing our world-class offerings to meet the changing needs of our customers. Our connectivity solutions are powered by the world’s best embedded & pluggable optical engines, which are designed, developed & manufactured in Infinera’s U.S.-based optical semiconductor fabrication center and are application-optimized for edge, metro, long-haul, and submarine transport networks. Our agile, open, compact & modular networking platforms enable network operators to rapidly and easily take advantage of best-in-class technology. Our software automation solutions optimize traffic flows and automate workloads to enable network operators to cost-effectively deliver secure bandwidth to their customers where and when needed. With these solutions, our goal is to create a connected world with unlimited bandwidth for everyone – everywhere, always, and instantly. What Inspires Us? A connected world with unlimited bandwidth for everyone – everywhere, always & instantly. What Motivates Us? Delivering innovative and impactful coherent optical technologies and open optical solutions that unlock new value for our customers. What Drives Us? To be a valued investment for our shareholders’ money, our customers’ CapEx and our employees’ time by delivering an unrivaled customer experience from an inclusive culture of innovation for our customers.
About the Role

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. 

Responsibilities

  • 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.

Qualifications

  • 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. 

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.
Key Skills
Machine learningDeep learningOptimization algorithmsTensorFlowPyTorchSearch enginesVector databasesBig dataSparkKafkaCassandraAnomaly detectionRoot-cause analysisAgentic-based systemsCommunication skills
Categories
TechnologySoftwareData & AnalyticsEngineeringScience & Research
Benefits
Flexible and hybrid working schemesProfessional development eventsNetworking opportunitiesWell-being programsPersonal support serviceEmployee resource groupsEmployee growth solutionsMentorship programsCoaching support
AI R&D Engineer Co-op - InternshipsHQ